Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- data/openeval/allenai/olmo-2-0325-32b-instruct/4b18ba36-25e4-4b20-bd27-6f9662227d0f.json +592 -0
- data/openeval/allenai/olmo-2-0325-32b-instruct/66f7984c-900f-46cf-9d9e-352cd96947be.json +178 -0
- data/openeval/allenai/olmo-2-0325-32b-instruct/ce32150c-56ee-4796-ac44-00022d32c7e6.json +669 -0
- data/openeval/allenai/olmo-2-1124-13b-instruct/1776cd1a-c2ee-4154-86fa-b867b441dc72.json +178 -0
- data/openeval/allenai/olmo-2-1124-13b-instruct/56bfa4b6-dfa5-4cd5-bda3-1e1f2c4dcde3.json +592 -0
- data/openeval/allenai/olmo-2-1124-13b-instruct/80b4781e-6bda-47d2-a8c7-2992bdc59fbf.json +669 -0
- data/openeval/allenai/olmo-2-1124-7b-instruct/4ebb35b0-437b-4a4e-bc91-03474dc44746.json +592 -0
- data/openeval/allenai/olmo-2-1124-7b-instruct/750d9266-8be1-42e3-92a1-bd980996a3f0.json +669 -0
- data/openeval/allenai/olmo-2-1124-7b-instruct/784538d4-b880-4e8b-ac9d-f5d3186a03fc.json +178 -0
- data/openeval/allenai/olmoe-1b-7b-0125-instruct/184dc0fe-068d-47ea-9e2b-43aab7e6c703.json +178 -0
- data/openeval/allenai/olmoe-1b-7b-0125-instruct/897845a0-b378-40d6-96c9-c389952d919a.json +592 -0
- data/openeval/allenai/olmoe-1b-7b-0125-instruct/fd6d417c-7ee8-4b81-ab4b-770c90f085f2.json +669 -0
- data/openeval/meta/deepseek-r1-distill-llama-8b/57e49395-fdcc-466e-b6f9-d4baf829dbcd.json +108 -0
- data/openeval/meta/deepseek-r1-distill-llama-8b/6ac355bf-9dfe-4710-8635-fcf5ebeb8bae.json +107 -0
- data/openeval/meta/deepseek-r1-distill-llama-8b/82f9507a-5af2-4584-9b6f-ff7b3117d412.json +108 -0
- data/openeval/meta/deepseek-r1-distill-llama-8b/dbcbc0ea-ba2a-46fd-ae1b-6e1437dd2f22.json +241 -0
- data/openeval/meta/llama-2-13b-hf/5457de62-2294-401d-b83c-4147bf1959f7.json +389 -0
- data/openeval/meta/llama-2-13b-hf/7f1c4325-f0d6-4818-b324-fc820d73eb98.json +107 -0
- data/openeval/meta/llama-2-13b-hf/8f09ad13-63a0-43bd-9ef1-560356a52a7e.json +1075 -0
- data/openeval/meta/llama-2-13b-hf/93eb7779-9951-4d4c-a287-f7bc0d916563.json +176 -0
- data/openeval/meta/llama-2-13b-hf/bc73c28a-ad7a-45bb-b8df-ff4d2dc621b8.json +178 -0
- data/openeval/meta/llama-2-13b-hf/d449fe65-8669-4a81-8a61-066117a85b8d.json +316 -0
- data/openeval/meta/llama-2-13b/0ac4fb95-d588-4d54-9bf7-2f771ecf5a3b.json +316 -0
- data/openeval/meta/llama-2-13b/35a2deef-030c-494a-b6bd-e87435e6dcee.json +109 -0
- data/openeval/meta/llama-2-13b/581be394-c36f-474a-b09e-40e8e6621709.json +592 -0
- data/openeval/meta/llama-2-13b/95de31c0-663e-4bcc-9365-9648d016610e.json +178 -0
- data/openeval/meta/llama-2-13b/99beade6-0416-4e6b-b4c4-7a55165b2172.json +178 -0
- data/openeval/meta/llama-2-13b/e591f70f-32ab-48a6-ae37-128173e04f88.json +523 -0
- data/openeval/meta/llama-2-13b/fc2de248-f118-444e-b0e7-d9fe7897ab6d.json +523 -0
- data/openeval/meta/llama-2-70b-hf/82a3d87f-5a12-43b7-b0a6-b6d65044b049.json +109 -0
- data/openeval/meta/llama-2-70b-hf/c31e283d-ae72-4abc-a5ae-a5a95a53332e.json +178 -0
- data/openeval/meta/llama-2-7b-chat-hf/046f635c-6566-4228-a1db-2bd546bb869b.json +1075 -0
- data/openeval/meta/llama-2-7b-chat-hf/41bd39dc-f6eb-42fe-9b2a-f599eda81400.json +108 -0
- data/openeval/meta/llama-2-7b-chat-hf/5bfb8e84-8985-4280-8569-a93295c75b54.json +107 -0
- data/openeval/meta/llama-2-7b-chat-hf/6c3614d2-f6ce-41d7-bc14-a040eb7030cb.json +108 -0
- data/openeval/meta/llama-2-7b-chat-hf/7e7cf0ef-5417-4bf2-a1c8-7231990b313a.json +241 -0
- data/openeval/meta/llama-2-7b-chat-hf/92d5bea5-4bbf-49d6-b4fa-61685027e251.json +176 -0
- data/openeval/meta/llama-3-8b-chat/6d4c136d-ed6d-43bf-a5ae-0deb733f67f0.json +592 -0
- data/openeval/meta/llama-3.1-70b-instruct-turbo/258796d5-7b2a-4d7a-a933-2ca487fbf74c.json +109 -0
- data/openeval/meta/llama-3.1-70b-instruct-turbo/321a5f1a-7c70-498d-8b11-daf6fc782a02.json +592 -0
- data/openeval/meta/llama-3.1-70b-instruct-turbo/4198d08e-bd2d-40ed-b8b0-654d2e0b59bd.json +389 -0
- data/openeval/meta/llama-3.1-70b-instruct-turbo/8d59a604-cfb9-4415-b242-4e5b84dec3a4.json +320 -0
- data/openeval/meta/llama-3.1-70b-instruct-turbo/a57b6942-cbe0-4684-a2dc-e9a4602d77f0.json +109 -0
- data/openeval/meta/llama-3.1-8b-instruct-turbo/9798a245-19b3-46a5-b8a6-8a605611c7e4.json +109 -0
- data/openeval/meta/llama-3.1-8b-instruct-turbo/a80f859a-1c51-400d-b556-4c1926a45d15.json +592 -0
- data/openeval/meta/llama-3.1-8b-instruct-turbo/b24fadd6-6a11-4324-994f-ccda7a869eb1.json +109 -0
- data/openeval/meta/llama-3.1-8b-instruct-turbo/c2411cae-d7e8-4311-a128-09bb49802562.json +320 -0
- data/openeval/meta/llama-3.2-3b-instruct/2bbdcc90-4fc1-45fe-b3e6-f43e189fa83e.json +108 -0
- data/openeval/meta/llama-3.2-3b-instruct/fc2fc975-4d20-4ffe-a7ec-117c4ad5571f.json +108 -0
- data/openeval/meta/llama-30b/0f300341-83a0-4527-815a-0c4c6d1d18be.json +592 -0
data/openeval/allenai/olmo-2-0325-32b-instruct/4b18ba36-25e4-4b20-bd27-6f9662227d0f.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-0325-32b-instruct/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-0325-32b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-0325-32b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-0325-32b-instruct",
|
| 35 |
+
"model_size": "32b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.98925,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-0325-32b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.002842537162029288,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.08988891765683642,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.9975,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-0325-32b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-0325-32b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.001170521302719485,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.03701513366341016,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.835,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.017982517268677813,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.3596503453735563,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.84625,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-0325-32b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.01656504892430631,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.3313009784861262,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.98,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.014070529413628968,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.14070529413628968,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "proportion",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "true",
|
| 417 |
+
"bounds_source": "binary_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.98,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-0325-32b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.014070529413628968,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.14070529413628968,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9277777777777778,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.012165398491386667,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.25806707307288324,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9811111111111112,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-0325-32b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.006327467468539572,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.1342258546422483,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/allenai/olmo-2-0325-32b-instruct/66f7984c-900f-46cf-9d9e-352cd96947be.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-0325-32b-instruct/d8697a2118bc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-0325-32b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-0325-32b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-0325-32b-instruct",
|
| 35 |
+
"model_size": "32b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.28699551569506726,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_olmo-2-0325-32b-instruct_0\",\"gpqa_20260421T022756Z_1_olmo-2-0325-32b-instruct_0\",\"gpqa_20260421T022756Z_2_olmo-2-0325-32b-instruct_0\",\"gpqa_20260421T022756Z_3_olmo-2-0325-32b-instruct_0\",\"gpqa_20260421T022756Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.021443895423518752,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.45286745336458495,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "d8697a2118bc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.414,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_olmo-2-0325-32b-instruct_0\",\"mmlu-pro_20260421T014755Z_1570_olmo-2-0325-32b-instruct_0\",\"mmlu-pro_20260421T014755Z_6943_olmo-2-0325-32b-instruct_0\",\"mmlu-pro_20260421T014755Z_6058_olmo-2-0325-32b-instruct_0\",\"mmlu-pro_20260421T014755Z_10267_olmo-2-0325-32b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.015583544104177552,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.4927949338688933,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 2048,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "d8697a2118bc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/allenai/olmo-2-0325-32b-instruct/ce32150c-56ee-4796-ac44-00022d32c7e6.json
ADDED
|
@@ -0,0 +1,669 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-0325-32b-instruct/a78e0bc75c88/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-0325-32b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-0325-32b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-0325-32b-instruct",
|
| 35 |
+
"model_size": "32b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.7797288971041281,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_olmo-2-0325-32b-instruct_0\",\"ifeval_20260421T021146Z_1_olmo-2-0325-32b-instruct_0\",\"ifeval_20260421T021146Z_2_olmo-2-0325-32b-instruct_0\",\"ifeval_20260421T021146Z_3_olmo-2-0325-32b-instruct_0\",\"ifeval_20260421T021146Z_4_olmo-2-0325-32b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.015607952445551606,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3630317136732641,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::claude-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.claude-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for claude_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.claude-correctness",
|
| 128 |
+
"metric_name": "claude_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "proportion",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": 0.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "claude_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "true",
|
| 142 |
+
"bounds_source": "binary_values",
|
| 143 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 0.158,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "0.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-0325-32b-instruct_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.011539894677559635,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.36492351139542817,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 2048,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-correctness",
|
| 198 |
+
"metric_name": "gpt_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "proportion",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": 0.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "true",
|
| 212 |
+
"bounds_source": "binary_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.161,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "0.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-0325-32b-instruct_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.011628164696727263,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.3677148544921924,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 2048,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::llama-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.llama-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for llama_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.llama-correctness",
|
| 268 |
+
"metric_name": "llama_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "proportion",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": 0.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "llama_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "true",
|
| 282 |
+
"bounds_source": "binary_values",
|
| 283 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.163,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "0.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-0325-32b-instruct_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.011686212712746913,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.36955049393495276,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 2048,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.16066666666666665,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-0325-32b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-0325-32b-instruct_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.011473935975170765,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.36283771408484794,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 2048,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 390 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 391 |
+
"source_data": {
|
| 392 |
+
"dataset_name": "wildbench",
|
| 393 |
+
"source_type": "hf_dataset",
|
| 394 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 395 |
+
"hf_split": "train",
|
| 396 |
+
"samples_number": 999,
|
| 397 |
+
"additional_details": {
|
| 398 |
+
"benchmark_name": "wildbench",
|
| 399 |
+
"benchmark_version": "v2",
|
| 400 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 401 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 402 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 403 |
+
}
|
| 404 |
+
},
|
| 405 |
+
"metric_config": {
|
| 406 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 407 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 408 |
+
"metric_name": "claude_score",
|
| 409 |
+
"metric_kind": "benchmark_score",
|
| 410 |
+
"metric_unit": "points",
|
| 411 |
+
"lower_is_better": false,
|
| 412 |
+
"score_type": "continuous",
|
| 413 |
+
"min_score": -1.0,
|
| 414 |
+
"max_score": 9.0,
|
| 415 |
+
"additional_details": {
|
| 416 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 417 |
+
"aggregation": "mean",
|
| 418 |
+
"raw_metric_name": "claude_score",
|
| 419 |
+
"response_count": "999",
|
| 420 |
+
"unique_sample_count": "999",
|
| 421 |
+
"score_values_are_binary": "false",
|
| 422 |
+
"bounds_source": "observed_values",
|
| 423 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 424 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 425 |
+
}
|
| 426 |
+
},
|
| 427 |
+
"score_details": {
|
| 428 |
+
"score": 7.5175175175175175,
|
| 429 |
+
"details": {
|
| 430 |
+
"min_instance_score": "-1.0",
|
| 431 |
+
"max_instance_score": "9.0",
|
| 432 |
+
"response_count": "999",
|
| 433 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-0325-32b-instruct_0\"]"
|
| 434 |
+
},
|
| 435 |
+
"uncertainty": {
|
| 436 |
+
"standard_error": {
|
| 437 |
+
"value": 0.044894162984534525,
|
| 438 |
+
"method": "analytic"
|
| 439 |
+
},
|
| 440 |
+
"standard_deviation": 1.4189680701875809,
|
| 441 |
+
"num_samples": 999
|
| 442 |
+
}
|
| 443 |
+
},
|
| 444 |
+
"generation_config": {
|
| 445 |
+
"generation_args": {
|
| 446 |
+
"temperature": 0.0,
|
| 447 |
+
"top_p": 1.0,
|
| 448 |
+
"top_k": 1.0,
|
| 449 |
+
"max_tokens": 2048,
|
| 450 |
+
"max_attempts": 1
|
| 451 |
+
},
|
| 452 |
+
"additional_details": {
|
| 453 |
+
"do_sample": "false",
|
| 454 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 455 |
+
}
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 460 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 461 |
+
"source_data": {
|
| 462 |
+
"dataset_name": "wildbench",
|
| 463 |
+
"source_type": "hf_dataset",
|
| 464 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 465 |
+
"hf_split": "train",
|
| 466 |
+
"samples_number": 999,
|
| 467 |
+
"additional_details": {
|
| 468 |
+
"benchmark_name": "wildbench",
|
| 469 |
+
"benchmark_version": "v2",
|
| 470 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 471 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 472 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 473 |
+
}
|
| 474 |
+
},
|
| 475 |
+
"metric_config": {
|
| 476 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 477 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 478 |
+
"metric_name": "gpt_score",
|
| 479 |
+
"metric_kind": "benchmark_score",
|
| 480 |
+
"metric_unit": "points",
|
| 481 |
+
"lower_is_better": false,
|
| 482 |
+
"score_type": "continuous",
|
| 483 |
+
"min_score": 0.0,
|
| 484 |
+
"max_score": 10.0,
|
| 485 |
+
"additional_details": {
|
| 486 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 487 |
+
"aggregation": "mean",
|
| 488 |
+
"raw_metric_name": "gpt_score",
|
| 489 |
+
"response_count": "999",
|
| 490 |
+
"unique_sample_count": "999",
|
| 491 |
+
"score_values_are_binary": "false",
|
| 492 |
+
"bounds_source": "observed_values",
|
| 493 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 494 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
"score_details": {
|
| 498 |
+
"score": 7.325325325325325,
|
| 499 |
+
"details": {
|
| 500 |
+
"min_instance_score": "1.0",
|
| 501 |
+
"max_instance_score": "10.0",
|
| 502 |
+
"response_count": "999",
|
| 503 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-0325-32b-instruct_0\"]"
|
| 504 |
+
},
|
| 505 |
+
"uncertainty": {
|
| 506 |
+
"standard_error": {
|
| 507 |
+
"value": 0.05745577573606711,
|
| 508 |
+
"method": "analytic"
|
| 509 |
+
},
|
| 510 |
+
"standard_deviation": 1.8160024777702823,
|
| 511 |
+
"num_samples": 999
|
| 512 |
+
}
|
| 513 |
+
},
|
| 514 |
+
"generation_config": {
|
| 515 |
+
"generation_args": {
|
| 516 |
+
"temperature": 0.0,
|
| 517 |
+
"top_p": 1.0,
|
| 518 |
+
"top_k": 1.0,
|
| 519 |
+
"max_tokens": 2048,
|
| 520 |
+
"max_attempts": 1
|
| 521 |
+
},
|
| 522 |
+
"additional_details": {
|
| 523 |
+
"do_sample": "false",
|
| 524 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 525 |
+
}
|
| 526 |
+
}
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 530 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 531 |
+
"source_data": {
|
| 532 |
+
"dataset_name": "wildbench",
|
| 533 |
+
"source_type": "hf_dataset",
|
| 534 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 535 |
+
"hf_split": "train",
|
| 536 |
+
"samples_number": 999,
|
| 537 |
+
"additional_details": {
|
| 538 |
+
"benchmark_name": "wildbench",
|
| 539 |
+
"benchmark_version": "v2",
|
| 540 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 541 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 542 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 543 |
+
}
|
| 544 |
+
},
|
| 545 |
+
"metric_config": {
|
| 546 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 547 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 548 |
+
"metric_name": "llama_score",
|
| 549 |
+
"metric_kind": "benchmark_score",
|
| 550 |
+
"metric_unit": "points",
|
| 551 |
+
"lower_is_better": false,
|
| 552 |
+
"score_type": "continuous",
|
| 553 |
+
"min_score": 0.0,
|
| 554 |
+
"max_score": 10.0,
|
| 555 |
+
"additional_details": {
|
| 556 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 557 |
+
"aggregation": "mean",
|
| 558 |
+
"raw_metric_name": "llama_score",
|
| 559 |
+
"response_count": "999",
|
| 560 |
+
"unique_sample_count": "999",
|
| 561 |
+
"score_values_are_binary": "false",
|
| 562 |
+
"bounds_source": "observed_values",
|
| 563 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 564 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 565 |
+
}
|
| 566 |
+
},
|
| 567 |
+
"score_details": {
|
| 568 |
+
"score": 7.9674674674674675,
|
| 569 |
+
"details": {
|
| 570 |
+
"min_instance_score": "1.0",
|
| 571 |
+
"max_instance_score": "10.0",
|
| 572 |
+
"response_count": "999",
|
| 573 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-0325-32b-instruct_0\"]"
|
| 574 |
+
},
|
| 575 |
+
"uncertainty": {
|
| 576 |
+
"standard_error": {
|
| 577 |
+
"value": 0.045688629552681465,
|
| 578 |
+
"method": "analytic"
|
| 579 |
+
},
|
| 580 |
+
"standard_deviation": 1.444078744228221,
|
| 581 |
+
"num_samples": 999
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
"generation_config": {
|
| 585 |
+
"generation_args": {
|
| 586 |
+
"temperature": 0.0,
|
| 587 |
+
"top_p": 1.0,
|
| 588 |
+
"top_k": 1.0,
|
| 589 |
+
"max_tokens": 2048,
|
| 590 |
+
"max_attempts": 1
|
| 591 |
+
},
|
| 592 |
+
"additional_details": {
|
| 593 |
+
"do_sample": "false",
|
| 594 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 595 |
+
}
|
| 596 |
+
}
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 600 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 601 |
+
"source_data": {
|
| 602 |
+
"dataset_name": "wildbench",
|
| 603 |
+
"source_type": "hf_dataset",
|
| 604 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 605 |
+
"hf_split": "train",
|
| 606 |
+
"samples_number": 1000,
|
| 607 |
+
"additional_details": {
|
| 608 |
+
"benchmark_name": "wildbench",
|
| 609 |
+
"benchmark_version": "v2",
|
| 610 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 611 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 612 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 613 |
+
}
|
| 614 |
+
},
|
| 615 |
+
"metric_config": {
|
| 616 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 617 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 618 |
+
"metric_name": "wildbench_score_rescaled",
|
| 619 |
+
"metric_kind": "benchmark_score",
|
| 620 |
+
"metric_unit": "score",
|
| 621 |
+
"lower_is_better": false,
|
| 622 |
+
"score_type": "continuous",
|
| 623 |
+
"min_score": 0.0,
|
| 624 |
+
"max_score": 1.0,
|
| 625 |
+
"additional_details": {
|
| 626 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 627 |
+
"aggregation": "mean",
|
| 628 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 629 |
+
"response_count": "1000",
|
| 630 |
+
"unique_sample_count": "1000",
|
| 631 |
+
"score_values_are_binary": "false",
|
| 632 |
+
"bounds_source": "normalized_observed_values",
|
| 633 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 634 |
+
"extra_artifact_types_json": "[]"
|
| 635 |
+
}
|
| 636 |
+
},
|
| 637 |
+
"score_details": {
|
| 638 |
+
"score": 0.7340740740740741,
|
| 639 |
+
"details": {
|
| 640 |
+
"min_instance_score": "0.0",
|
| 641 |
+
"max_instance_score": "0.9629629629629629",
|
| 642 |
+
"response_count": "1000",
|
| 643 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-0325-32b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-0325-32b-instruct_0\"]"
|
| 644 |
+
},
|
| 645 |
+
"uncertainty": {
|
| 646 |
+
"standard_error": {
|
| 647 |
+
"value": 0.004841902534318414,
|
| 648 |
+
"method": "analytic"
|
| 649 |
+
},
|
| 650 |
+
"standard_deviation": 0.1531144021698778,
|
| 651 |
+
"num_samples": 1000
|
| 652 |
+
}
|
| 653 |
+
},
|
| 654 |
+
"generation_config": {
|
| 655 |
+
"generation_args": {
|
| 656 |
+
"temperature": 0.0,
|
| 657 |
+
"top_p": 1.0,
|
| 658 |
+
"top_k": 1.0,
|
| 659 |
+
"max_tokens": 2048,
|
| 660 |
+
"max_attempts": 1
|
| 661 |
+
},
|
| 662 |
+
"additional_details": {
|
| 663 |
+
"do_sample": "false",
|
| 664 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 665 |
+
}
|
| 666 |
+
}
|
| 667 |
+
}
|
| 668 |
+
]
|
| 669 |
+
}
|
data/openeval/allenai/olmo-2-1124-13b-instruct/1776cd1a-c2ee-4154-86fa-b867b441dc72.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-13b-instruct/d8697a2118bc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-13b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-13b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-13b-instruct",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.31614349775784756,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_olmo-2-1124-13b-instruct_0\",\"gpqa_20260421T022756Z_1_olmo-2-1124-13b-instruct_0\",\"gpqa_20260421T022756Z_2_olmo-2-1124-13b-instruct_0\",\"gpqa_20260421T022756Z_3_olmo-2-1124-13b-instruct_0\",\"gpqa_20260421T022756Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.022041675877030042,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.46549180665050316,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "d8697a2118bc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.31,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_olmo-2-1124-13b-instruct_0\",\"mmlu-pro_20260421T014755Z_1570_olmo-2-1124-13b-instruct_0\",\"mmlu-pro_20260421T014755Z_6943_olmo-2-1124-13b-instruct_0\",\"mmlu-pro_20260421T014755Z_6058_olmo-2-1124-13b-instruct_0\",\"mmlu-pro_20260421T014755Z_10267_olmo-2-1124-13b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.014632638658632765,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.46272466339510593,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 2048,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "d8697a2118bc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/allenai/olmo-2-1124-13b-instruct/56bfa4b6-dfa5-4cd5-bda3-1e1f2c4dcde3.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-13b-instruct/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-13b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-13b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-13b-instruct",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.873,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-1124-13b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.009872612038790366,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3121994049777617,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.94025,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-1124-13b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-1124-13b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.006376370095563431,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.20163852706165952,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.52875,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.02286214749800533,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4572429499601066,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.50875,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-1124-13b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.022279183080778954,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.44558366161557905,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "score",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "false",
|
| 348 |
+
"bounds_source": "normalized_observed_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.795,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.03962896094341291,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.39628960943412905,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.825,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-1124-13b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.03718300361153947,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.3718300361153947,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.8855555555555555,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.014732811485904305,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.3125301272287797,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9655555555555555,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-1124-13b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.008388049355638716,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.17793739740898762,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/allenai/olmo-2-1124-13b-instruct/80b4781e-6bda-47d2-a8c7-2992bdc59fbf.json
ADDED
|
@@ -0,0 +1,669 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-13b-instruct/a78e0bc75c88/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-13b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-13b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-13b-instruct",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.7298213185459026,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_olmo-2-1124-13b-instruct_0\",\"ifeval_20260421T021146Z_1_olmo-2-1124-13b-instruct_0\",\"ifeval_20260421T021146Z_2_olmo-2-1124-13b-instruct_0\",\"ifeval_20260421T021146Z_3_olmo-2-1124-13b-instruct_0\",\"ifeval_20260421T021146Z_4_olmo-2-1124-13b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.016694938989478686,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3883143757750501,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::claude-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.claude-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for claude_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.claude-correctness",
|
| 128 |
+
"metric_name": "claude_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "proportion",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": 0.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "claude_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "true",
|
| 142 |
+
"bounds_source": "binary_values",
|
| 143 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 0.156,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "0.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-13b-instruct_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.011480235006122295,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.3630369069334353,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 2048,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-correctness",
|
| 198 |
+
"metric_name": "gpt_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "proportion",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": 0.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "true",
|
| 212 |
+
"bounds_source": "binary_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.155,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "0.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-13b-instruct_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.011450157470799522,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.362085771753194,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 2048,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::llama-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.llama-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for llama_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.llama-correctness",
|
| 268 |
+
"metric_name": "llama_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "proportion",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": 0.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "llama_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "true",
|
| 282 |
+
"bounds_source": "binary_values",
|
| 283 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.156,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "0.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-13b-instruct_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.011480235006122295,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.3630369069334353,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 2048,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.15566666666666665,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-13b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-13b-instruct_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.011304183399968257,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.35746966632165855,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 2048,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 390 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 391 |
+
"source_data": {
|
| 392 |
+
"dataset_name": "wildbench",
|
| 393 |
+
"source_type": "hf_dataset",
|
| 394 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 395 |
+
"hf_split": "train",
|
| 396 |
+
"samples_number": 991,
|
| 397 |
+
"additional_details": {
|
| 398 |
+
"benchmark_name": "wildbench",
|
| 399 |
+
"benchmark_version": "v2",
|
| 400 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 401 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 402 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 403 |
+
}
|
| 404 |
+
},
|
| 405 |
+
"metric_config": {
|
| 406 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 407 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 408 |
+
"metric_name": "claude_score",
|
| 409 |
+
"metric_kind": "benchmark_score",
|
| 410 |
+
"metric_unit": "points",
|
| 411 |
+
"lower_is_better": false,
|
| 412 |
+
"score_type": "continuous",
|
| 413 |
+
"min_score": -1.0,
|
| 414 |
+
"max_score": 9.0,
|
| 415 |
+
"additional_details": {
|
| 416 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 417 |
+
"aggregation": "mean",
|
| 418 |
+
"raw_metric_name": "claude_score",
|
| 419 |
+
"response_count": "991",
|
| 420 |
+
"unique_sample_count": "991",
|
| 421 |
+
"score_values_are_binary": "false",
|
| 422 |
+
"bounds_source": "observed_values",
|
| 423 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 424 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 425 |
+
}
|
| 426 |
+
},
|
| 427 |
+
"score_details": {
|
| 428 |
+
"score": 7.196770938446014,
|
| 429 |
+
"details": {
|
| 430 |
+
"min_instance_score": "-1.0",
|
| 431 |
+
"max_instance_score": "9.0",
|
| 432 |
+
"response_count": "991",
|
| 433 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_1_olmo-2-1124-13b-instruct_0\"]"
|
| 434 |
+
},
|
| 435 |
+
"uncertainty": {
|
| 436 |
+
"standard_error": {
|
| 437 |
+
"value": 0.052212850565386264,
|
| 438 |
+
"method": "analytic"
|
| 439 |
+
},
|
| 440 |
+
"standard_deviation": 1.6436684970777673,
|
| 441 |
+
"num_samples": 991
|
| 442 |
+
}
|
| 443 |
+
},
|
| 444 |
+
"generation_config": {
|
| 445 |
+
"generation_args": {
|
| 446 |
+
"temperature": 0.0,
|
| 447 |
+
"top_p": 1.0,
|
| 448 |
+
"top_k": 1.0,
|
| 449 |
+
"max_tokens": 2048,
|
| 450 |
+
"max_attempts": 1
|
| 451 |
+
},
|
| 452 |
+
"additional_details": {
|
| 453 |
+
"do_sample": "false",
|
| 454 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 455 |
+
}
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 460 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 461 |
+
"source_data": {
|
| 462 |
+
"dataset_name": "wildbench",
|
| 463 |
+
"source_type": "hf_dataset",
|
| 464 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 465 |
+
"hf_split": "train",
|
| 466 |
+
"samples_number": 991,
|
| 467 |
+
"additional_details": {
|
| 468 |
+
"benchmark_name": "wildbench",
|
| 469 |
+
"benchmark_version": "v2",
|
| 470 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 471 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 472 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 473 |
+
}
|
| 474 |
+
},
|
| 475 |
+
"metric_config": {
|
| 476 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 477 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 478 |
+
"metric_name": "gpt_score",
|
| 479 |
+
"metric_kind": "benchmark_score",
|
| 480 |
+
"metric_unit": "points",
|
| 481 |
+
"lower_is_better": false,
|
| 482 |
+
"score_type": "continuous",
|
| 483 |
+
"min_score": 0.0,
|
| 484 |
+
"max_score": 10.0,
|
| 485 |
+
"additional_details": {
|
| 486 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 487 |
+
"aggregation": "mean",
|
| 488 |
+
"raw_metric_name": "gpt_score",
|
| 489 |
+
"response_count": "991",
|
| 490 |
+
"unique_sample_count": "991",
|
| 491 |
+
"score_values_are_binary": "false",
|
| 492 |
+
"bounds_source": "observed_values",
|
| 493 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 494 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
"score_details": {
|
| 498 |
+
"score": 6.917255297679112,
|
| 499 |
+
"details": {
|
| 500 |
+
"min_instance_score": "1.0",
|
| 501 |
+
"max_instance_score": "10.0",
|
| 502 |
+
"response_count": "991",
|
| 503 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_1_olmo-2-1124-13b-instruct_0\"]"
|
| 504 |
+
},
|
| 505 |
+
"uncertainty": {
|
| 506 |
+
"standard_error": {
|
| 507 |
+
"value": 0.06493810593693271,
|
| 508 |
+
"method": "analytic"
|
| 509 |
+
},
|
| 510 |
+
"standard_deviation": 2.0442614764878315,
|
| 511 |
+
"num_samples": 991
|
| 512 |
+
}
|
| 513 |
+
},
|
| 514 |
+
"generation_config": {
|
| 515 |
+
"generation_args": {
|
| 516 |
+
"temperature": 0.0,
|
| 517 |
+
"top_p": 1.0,
|
| 518 |
+
"top_k": 1.0,
|
| 519 |
+
"max_tokens": 2048,
|
| 520 |
+
"max_attempts": 1
|
| 521 |
+
},
|
| 522 |
+
"additional_details": {
|
| 523 |
+
"do_sample": "false",
|
| 524 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 525 |
+
}
|
| 526 |
+
}
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 530 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 531 |
+
"source_data": {
|
| 532 |
+
"dataset_name": "wildbench",
|
| 533 |
+
"source_type": "hf_dataset",
|
| 534 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 535 |
+
"hf_split": "train",
|
| 536 |
+
"samples_number": 991,
|
| 537 |
+
"additional_details": {
|
| 538 |
+
"benchmark_name": "wildbench",
|
| 539 |
+
"benchmark_version": "v2",
|
| 540 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 541 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 542 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 543 |
+
}
|
| 544 |
+
},
|
| 545 |
+
"metric_config": {
|
| 546 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 547 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 548 |
+
"metric_name": "llama_score",
|
| 549 |
+
"metric_kind": "benchmark_score",
|
| 550 |
+
"metric_unit": "points",
|
| 551 |
+
"lower_is_better": false,
|
| 552 |
+
"score_type": "continuous",
|
| 553 |
+
"min_score": 0.0,
|
| 554 |
+
"max_score": 10.0,
|
| 555 |
+
"additional_details": {
|
| 556 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 557 |
+
"aggregation": "mean",
|
| 558 |
+
"raw_metric_name": "llama_score",
|
| 559 |
+
"response_count": "991",
|
| 560 |
+
"unique_sample_count": "991",
|
| 561 |
+
"score_values_are_binary": "false",
|
| 562 |
+
"bounds_source": "observed_values",
|
| 563 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 564 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 565 |
+
}
|
| 566 |
+
},
|
| 567 |
+
"score_details": {
|
| 568 |
+
"score": 7.63824419778002,
|
| 569 |
+
"details": {
|
| 570 |
+
"min_instance_score": "1.0",
|
| 571 |
+
"max_instance_score": "10.0",
|
| 572 |
+
"response_count": "991",
|
| 573 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_1_olmo-2-1124-13b-instruct_0\"]"
|
| 574 |
+
},
|
| 575 |
+
"uncertainty": {
|
| 576 |
+
"standard_error": {
|
| 577 |
+
"value": 0.053208049966670286,
|
| 578 |
+
"method": "analytic"
|
| 579 |
+
},
|
| 580 |
+
"standard_deviation": 1.6749975259756,
|
| 581 |
+
"num_samples": 991
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
"generation_config": {
|
| 585 |
+
"generation_args": {
|
| 586 |
+
"temperature": 0.0,
|
| 587 |
+
"top_p": 1.0,
|
| 588 |
+
"top_k": 1.0,
|
| 589 |
+
"max_tokens": 2048,
|
| 590 |
+
"max_attempts": 1
|
| 591 |
+
},
|
| 592 |
+
"additional_details": {
|
| 593 |
+
"do_sample": "false",
|
| 594 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 595 |
+
}
|
| 596 |
+
}
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 600 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 601 |
+
"source_data": {
|
| 602 |
+
"dataset_name": "wildbench",
|
| 603 |
+
"source_type": "hf_dataset",
|
| 604 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 605 |
+
"hf_split": "train",
|
| 606 |
+
"samples_number": 1000,
|
| 607 |
+
"additional_details": {
|
| 608 |
+
"benchmark_name": "wildbench",
|
| 609 |
+
"benchmark_version": "v2",
|
| 610 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 611 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 612 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 613 |
+
}
|
| 614 |
+
},
|
| 615 |
+
"metric_config": {
|
| 616 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 617 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 618 |
+
"metric_name": "wildbench_score_rescaled",
|
| 619 |
+
"metric_kind": "benchmark_score",
|
| 620 |
+
"metric_unit": "score",
|
| 621 |
+
"lower_is_better": false,
|
| 622 |
+
"score_type": "continuous",
|
| 623 |
+
"min_score": 0.0,
|
| 624 |
+
"max_score": 1.0,
|
| 625 |
+
"additional_details": {
|
| 626 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 627 |
+
"aggregation": "mean",
|
| 628 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 629 |
+
"response_count": "1000",
|
| 630 |
+
"unique_sample_count": "1000",
|
| 631 |
+
"score_values_are_binary": "false",
|
| 632 |
+
"bounds_source": "normalized_observed_values",
|
| 633 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 634 |
+
"extra_artifact_types_json": "[]"
|
| 635 |
+
}
|
| 636 |
+
},
|
| 637 |
+
"score_details": {
|
| 638 |
+
"score": 0.6890925925925926,
|
| 639 |
+
"details": {
|
| 640 |
+
"min_instance_score": "0.0",
|
| 641 |
+
"max_instance_score": "0.9629629629629629",
|
| 642 |
+
"response_count": "1000",
|
| 643 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-13b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-13b-instruct_0\"]"
|
| 644 |
+
},
|
| 645 |
+
"uncertainty": {
|
| 646 |
+
"standard_error": {
|
| 647 |
+
"value": 0.005999583903051381,
|
| 648 |
+
"method": "analytic"
|
| 649 |
+
},
|
| 650 |
+
"standard_deviation": 0.18972350146925193,
|
| 651 |
+
"num_samples": 1000
|
| 652 |
+
}
|
| 653 |
+
},
|
| 654 |
+
"generation_config": {
|
| 655 |
+
"generation_args": {
|
| 656 |
+
"temperature": 0.0,
|
| 657 |
+
"top_p": 1.0,
|
| 658 |
+
"top_k": 1.0,
|
| 659 |
+
"max_tokens": 2048,
|
| 660 |
+
"max_attempts": 1
|
| 661 |
+
},
|
| 662 |
+
"additional_details": {
|
| 663 |
+
"do_sample": "false",
|
| 664 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 665 |
+
}
|
| 666 |
+
}
|
| 667 |
+
}
|
| 668 |
+
]
|
| 669 |
+
}
|
data/openeval/allenai/olmo-2-1124-7b-instruct/4ebb35b0-437b-4a4e-bc91-03474dc44746.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-7b-instruct/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-7b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-7b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-7b-instruct",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.8385,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-1124-7b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.010893181877275868,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3444726569866053,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.92075,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmo-2-1124-7b-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmo-2-1124-7b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.007480835541595631,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.23656479112581483,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.58875,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.021979053453841386,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.43958106907682776,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "points",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": -1.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.55875,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "-1.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_1_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_2_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_3_olmo-2-1124-7b-instruct_0\",\"harmbench_20260421T041055Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.02201750485523111,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.44035009710462214,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "score",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "false",
|
| 348 |
+
"bounds_source": "normalized_observed_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.75,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.042342995795400365,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.4234299579540036,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.8,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmo-2-1124-7b-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.03892494720807615,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.3892494720807615,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.83,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.017267564104598232,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.36630035018804474,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9455555555555556,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_1_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_2_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_3_olmo-2-1124-7b-instruct_0\",\"xstest_20260421T040447Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.010532966621545282,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.22343796372318686,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/allenai/olmo-2-1124-7b-instruct/750d9266-8be1-42e3-92a1-bd980996a3f0.json
ADDED
|
@@ -0,0 +1,669 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-7b-instruct/a78e0bc75c88/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-7b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-7b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-7b-instruct",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.6928527418361059,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_olmo-2-1124-7b-instruct_0\",\"ifeval_20260421T021146Z_1_olmo-2-1124-7b-instruct_0\",\"ifeval_20260421T021146Z_2_olmo-2-1124-7b-instruct_0\",\"ifeval_20260421T021146Z_3_olmo-2-1124-7b-instruct_0\",\"ifeval_20260421T021146Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01732197128866903,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.40289877503546917,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::claude-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.claude-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for claude_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.claude-correctness",
|
| 128 |
+
"metric_name": "claude_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -1.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "claude_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 0.112,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-1.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-7b-instruct_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.010077576968575213,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.31868096516352773,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 2048,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-correctness",
|
| 198 |
+
"metric_name": "gpt_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "proportion",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": 0.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "true",
|
| 212 |
+
"bounds_source": "binary_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.116,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "0.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-7b-instruct_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.010131468138756924,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.3203851535989873,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 2048,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::llama-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.llama-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for llama_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.llama-correctness",
|
| 268 |
+
"metric_name": "llama_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "proportion",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": 0.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "llama_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "true",
|
| 282 |
+
"bounds_source": "binary_values",
|
| 283 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.119,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "0.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-7b-instruct_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.01024421514533661,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.32395052700056526,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 2048,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.11633333333333333,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_582_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_3933_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2696_olmo-2-1124-7b-instruct_0\",\"omni-math_20260421T014254Z_2406_olmo-2-1124-7b-instruct_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.01001166597914154,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.31659667666907076,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 2048,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 390 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 391 |
+
"source_data": {
|
| 392 |
+
"dataset_name": "wildbench",
|
| 393 |
+
"source_type": "hf_dataset",
|
| 394 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 395 |
+
"hf_split": "train",
|
| 396 |
+
"samples_number": 968,
|
| 397 |
+
"additional_details": {
|
| 398 |
+
"benchmark_name": "wildbench",
|
| 399 |
+
"benchmark_version": "v2",
|
| 400 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 401 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 402 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 403 |
+
}
|
| 404 |
+
},
|
| 405 |
+
"metric_config": {
|
| 406 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 407 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 408 |
+
"metric_name": "claude_score",
|
| 409 |
+
"metric_kind": "benchmark_score",
|
| 410 |
+
"metric_unit": "points",
|
| 411 |
+
"lower_is_better": false,
|
| 412 |
+
"score_type": "continuous",
|
| 413 |
+
"min_score": -1.0,
|
| 414 |
+
"max_score": 9.0,
|
| 415 |
+
"additional_details": {
|
| 416 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 417 |
+
"aggregation": "mean",
|
| 418 |
+
"raw_metric_name": "claude_score",
|
| 419 |
+
"response_count": "968",
|
| 420 |
+
"unique_sample_count": "968",
|
| 421 |
+
"score_values_are_binary": "false",
|
| 422 |
+
"bounds_source": "observed_values",
|
| 423 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 424 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 425 |
+
}
|
| 426 |
+
},
|
| 427 |
+
"score_details": {
|
| 428 |
+
"score": 6.81301652892562,
|
| 429 |
+
"details": {
|
| 430 |
+
"min_instance_score": "-1.0",
|
| 431 |
+
"max_instance_score": "9.0",
|
| 432 |
+
"response_count": "968",
|
| 433 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_230_olmo-2-1124-7b-instruct_0\"]"
|
| 434 |
+
},
|
| 435 |
+
"uncertainty": {
|
| 436 |
+
"standard_error": {
|
| 437 |
+
"value": 0.05809444669561756,
|
| 438 |
+
"method": "analytic"
|
| 439 |
+
},
|
| 440 |
+
"standard_deviation": 1.80747499714107,
|
| 441 |
+
"num_samples": 968
|
| 442 |
+
}
|
| 443 |
+
},
|
| 444 |
+
"generation_config": {
|
| 445 |
+
"generation_args": {
|
| 446 |
+
"temperature": 0.0,
|
| 447 |
+
"top_p": 1.0,
|
| 448 |
+
"top_k": 1.0,
|
| 449 |
+
"max_tokens": 2048,
|
| 450 |
+
"max_attempts": 1
|
| 451 |
+
},
|
| 452 |
+
"additional_details": {
|
| 453 |
+
"do_sample": "false",
|
| 454 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 455 |
+
}
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 460 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 461 |
+
"source_data": {
|
| 462 |
+
"dataset_name": "wildbench",
|
| 463 |
+
"source_type": "hf_dataset",
|
| 464 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 465 |
+
"hf_split": "train",
|
| 466 |
+
"samples_number": 968,
|
| 467 |
+
"additional_details": {
|
| 468 |
+
"benchmark_name": "wildbench",
|
| 469 |
+
"benchmark_version": "v2",
|
| 470 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 471 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 472 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 473 |
+
}
|
| 474 |
+
},
|
| 475 |
+
"metric_config": {
|
| 476 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 477 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 478 |
+
"metric_name": "gpt_score",
|
| 479 |
+
"metric_kind": "benchmark_score",
|
| 480 |
+
"metric_unit": "points",
|
| 481 |
+
"lower_is_better": false,
|
| 482 |
+
"score_type": "continuous",
|
| 483 |
+
"min_score": 0.0,
|
| 484 |
+
"max_score": 10.0,
|
| 485 |
+
"additional_details": {
|
| 486 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 487 |
+
"aggregation": "mean",
|
| 488 |
+
"raw_metric_name": "gpt_score",
|
| 489 |
+
"response_count": "968",
|
| 490 |
+
"unique_sample_count": "968",
|
| 491 |
+
"score_values_are_binary": "false",
|
| 492 |
+
"bounds_source": "observed_values",
|
| 493 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 494 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
"score_details": {
|
| 498 |
+
"score": 6.434917355371901,
|
| 499 |
+
"details": {
|
| 500 |
+
"min_instance_score": "1.0",
|
| 501 |
+
"max_instance_score": "10.0",
|
| 502 |
+
"response_count": "968",
|
| 503 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_230_olmo-2-1124-7b-instruct_0\"]"
|
| 504 |
+
},
|
| 505 |
+
"uncertainty": {
|
| 506 |
+
"standard_error": {
|
| 507 |
+
"value": 0.07208441757185209,
|
| 508 |
+
"method": "analytic"
|
| 509 |
+
},
|
| 510 |
+
"standard_deviation": 2.2427407412493308,
|
| 511 |
+
"num_samples": 968
|
| 512 |
+
}
|
| 513 |
+
},
|
| 514 |
+
"generation_config": {
|
| 515 |
+
"generation_args": {
|
| 516 |
+
"temperature": 0.0,
|
| 517 |
+
"top_p": 1.0,
|
| 518 |
+
"top_k": 1.0,
|
| 519 |
+
"max_tokens": 2048,
|
| 520 |
+
"max_attempts": 1
|
| 521 |
+
},
|
| 522 |
+
"additional_details": {
|
| 523 |
+
"do_sample": "false",
|
| 524 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 525 |
+
}
|
| 526 |
+
}
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 530 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 531 |
+
"source_data": {
|
| 532 |
+
"dataset_name": "wildbench",
|
| 533 |
+
"source_type": "hf_dataset",
|
| 534 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 535 |
+
"hf_split": "train",
|
| 536 |
+
"samples_number": 968,
|
| 537 |
+
"additional_details": {
|
| 538 |
+
"benchmark_name": "wildbench",
|
| 539 |
+
"benchmark_version": "v2",
|
| 540 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 541 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 542 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 543 |
+
}
|
| 544 |
+
},
|
| 545 |
+
"metric_config": {
|
| 546 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 547 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 548 |
+
"metric_name": "llama_score",
|
| 549 |
+
"metric_kind": "benchmark_score",
|
| 550 |
+
"metric_unit": "points",
|
| 551 |
+
"lower_is_better": false,
|
| 552 |
+
"score_type": "continuous",
|
| 553 |
+
"min_score": 0.0,
|
| 554 |
+
"max_score": 10.0,
|
| 555 |
+
"additional_details": {
|
| 556 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 557 |
+
"aggregation": "mean",
|
| 558 |
+
"raw_metric_name": "llama_score",
|
| 559 |
+
"response_count": "968",
|
| 560 |
+
"unique_sample_count": "968",
|
| 561 |
+
"score_values_are_binary": "false",
|
| 562 |
+
"bounds_source": "observed_values",
|
| 563 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 564 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 565 |
+
}
|
| 566 |
+
},
|
| 567 |
+
"score_details": {
|
| 568 |
+
"score": 7.256198347107438,
|
| 569 |
+
"details": {
|
| 570 |
+
"min_instance_score": "1.0",
|
| 571 |
+
"max_instance_score": "10.0",
|
| 572 |
+
"response_count": "968",
|
| 573 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_230_olmo-2-1124-7b-instruct_0\"]"
|
| 574 |
+
},
|
| 575 |
+
"uncertainty": {
|
| 576 |
+
"standard_error": {
|
| 577 |
+
"value": 0.06241014642298758,
|
| 578 |
+
"method": "analytic"
|
| 579 |
+
},
|
| 580 |
+
"standard_deviation": 1.9417480610237543,
|
| 581 |
+
"num_samples": 968
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
"generation_config": {
|
| 585 |
+
"generation_args": {
|
| 586 |
+
"temperature": 0.0,
|
| 587 |
+
"top_p": 1.0,
|
| 588 |
+
"top_k": 1.0,
|
| 589 |
+
"max_tokens": 2048,
|
| 590 |
+
"max_attempts": 1
|
| 591 |
+
},
|
| 592 |
+
"additional_details": {
|
| 593 |
+
"do_sample": "false",
|
| 594 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 595 |
+
}
|
| 596 |
+
}
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 600 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 601 |
+
"source_data": {
|
| 602 |
+
"dataset_name": "wildbench",
|
| 603 |
+
"source_type": "hf_dataset",
|
| 604 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 605 |
+
"hf_split": "train",
|
| 606 |
+
"samples_number": 1000,
|
| 607 |
+
"additional_details": {
|
| 608 |
+
"benchmark_name": "wildbench",
|
| 609 |
+
"benchmark_version": "v2",
|
| 610 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 611 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 612 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 613 |
+
}
|
| 614 |
+
},
|
| 615 |
+
"metric_config": {
|
| 616 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 617 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 618 |
+
"metric_name": "wildbench_score_rescaled",
|
| 619 |
+
"metric_kind": "benchmark_score",
|
| 620 |
+
"metric_unit": "score",
|
| 621 |
+
"lower_is_better": false,
|
| 622 |
+
"score_type": "continuous",
|
| 623 |
+
"min_score": 0.0,
|
| 624 |
+
"max_score": 1.0,
|
| 625 |
+
"additional_details": {
|
| 626 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 627 |
+
"aggregation": "mean",
|
| 628 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 629 |
+
"response_count": "1000",
|
| 630 |
+
"unique_sample_count": "1000",
|
| 631 |
+
"score_values_are_binary": "false",
|
| 632 |
+
"bounds_source": "normalized_observed_values",
|
| 633 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 634 |
+
"extra_artifact_types_json": "[]"
|
| 635 |
+
}
|
| 636 |
+
},
|
| 637 |
+
"score_details": {
|
| 638 |
+
"score": 0.6283518518518518,
|
| 639 |
+
"details": {
|
| 640 |
+
"min_instance_score": "0.0",
|
| 641 |
+
"max_instance_score": "0.9629629629629629",
|
| 642 |
+
"response_count": "1000",
|
| 643 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_27_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_77_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_609_olmo-2-1124-7b-instruct_0\",\"wildbench_20260421T015543Z_320_olmo-2-1124-7b-instruct_0\"]"
|
| 644 |
+
},
|
| 645 |
+
"uncertainty": {
|
| 646 |
+
"standard_error": {
|
| 647 |
+
"value": 0.0072902121704231685,
|
| 648 |
+
"method": "analytic"
|
| 649 |
+
},
|
| 650 |
+
"standard_deviation": 0.2305367508441682,
|
| 651 |
+
"num_samples": 1000
|
| 652 |
+
}
|
| 653 |
+
},
|
| 654 |
+
"generation_config": {
|
| 655 |
+
"generation_args": {
|
| 656 |
+
"temperature": 0.0,
|
| 657 |
+
"top_p": 1.0,
|
| 658 |
+
"top_k": 1.0,
|
| 659 |
+
"max_tokens": 2048,
|
| 660 |
+
"max_attempts": 1
|
| 661 |
+
},
|
| 662 |
+
"additional_details": {
|
| 663 |
+
"do_sample": "false",
|
| 664 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 665 |
+
}
|
| 666 |
+
}
|
| 667 |
+
}
|
| 668 |
+
]
|
| 669 |
+
}
|
data/openeval/allenai/olmo-2-1124-7b-instruct/784538d4-b880-4e8b-ac9d-f5d3186a03fc.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmo-2-1124-7b-instruct/d8697a2118bc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmo-2-1124-7b-instruct",
|
| 31 |
+
"id": "allenai/olmo-2-1124-7b-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmo-2-1124-7b-instruct",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.29596412556053814,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_olmo-2-1124-7b-instruct_0\",\"gpqa_20260421T022756Z_1_olmo-2-1124-7b-instruct_0\",\"gpqa_20260421T022756Z_2_olmo-2-1124-7b-instruct_0\",\"gpqa_20260421T022756Z_3_olmo-2-1124-7b-instruct_0\",\"gpqa_20260421T022756Z_4_olmo-2-1124-7b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.021638986971954436,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4569875356056186,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "d8697a2118bc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.292,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_olmo-2-1124-7b-instruct_0\",\"mmlu-pro_20260421T014755Z_1570_olmo-2-1124-7b-instruct_0\",\"mmlu-pro_20260421T014755Z_6943_olmo-2-1124-7b-instruct_0\",\"mmlu-pro_20260421T014755Z_6058_olmo-2-1124-7b-instruct_0\",\"mmlu-pro_20260421T014755Z_10267_olmo-2-1124-7b-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.014385511563477432,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.4549098184727858,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 2048,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "d8697a2118bc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/allenai/olmoe-1b-7b-0125-instruct/184dc0fe-068d-47ea-9e2b-43aab7e6c703.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmoe-1b-7b-0125-instruct/d8697a2118bc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmoe-1b-7b-0125-instruct",
|
| 31 |
+
"id": "allenai/olmoe-1b-7b-0125-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmoe-1b-7b-0125-instruct",
|
| 35 |
+
"model_size": "1b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.21973094170403587,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_olmoe-1b-7b-0125-instruct_0\",\"gpqa_20260421T022756Z_1_olmoe-1b-7b-0125-instruct_0\",\"gpqa_20260421T022756Z_2_olmoe-1b-7b-0125-instruct_0\",\"gpqa_20260421T022756Z_3_olmoe-1b-7b-0125-instruct_0\",\"gpqa_20260421T022756Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.019628530883218656,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.41452929231421864,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "d8697a2118bc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.169,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_olmoe-1b-7b-0125-instruct_0\",\"mmlu-pro_20260421T014755Z_1570_olmoe-1b-7b-0125-instruct_0\",\"mmlu-pro_20260421T014755Z_6943_olmoe-1b-7b-0125-instruct_0\",\"mmlu-pro_20260421T014755Z_6058_olmoe-1b-7b-0125-instruct_0\",\"mmlu-pro_20260421T014755Z_10267_olmoe-1b-7b-0125-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.011856625977890152,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.3749394345485409,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 2048,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "d8697a2118bc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/allenai/olmoe-1b-7b-0125-instruct/897845a0-b378-40d6-96c9-c389952d919a.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmoe-1b-7b-0125-instruct/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmoe-1b-7b-0125-instruct",
|
| 31 |
+
"id": "allenai/olmoe-1b-7b-0125-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmoe-1b-7b-0125-instruct",
|
| 35 |
+
"model_size": "1b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.8555,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmoe-1b-7b-0125-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.010330850714073673,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3266901842364972,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.92325,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_4449_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_28555_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_6732_olmoe-1b-7b-0125-instruct_0\",\"anthropic-red-teaming_20260421T042919Z_8855_olmoe-1b-7b-0125-instruct_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.006926031143981913,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.21902033560244447,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.65125,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_1_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_2_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_3_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.020350834994230727,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.40701669988461453,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "points",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": -1.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.59875,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "-1.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_1_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_2_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_3_olmoe-1b-7b-0125-instruct_0\",\"harmbench_20260421T041055Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.02158351718987696,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.4316703437975392,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "score",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "false",
|
| 348 |
+
"bounds_source": "normalized_observed_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.735,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.042908759200909266,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.4290875920090927,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.715,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_1_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_2_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_3_olmoe-1b-7b-0125-instruct_0\",\"simplesafetytests_20260421T041445Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.04508969736071432,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.4508969736071432,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.7566666666666667,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_1_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_2_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_3_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.019086409224235486,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.40488388172875156,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9288888888888889,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_1_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_2_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_3_olmoe-1b-7b-0125-instruct_0\",\"xstest_20260421T040447Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.011500716964286306,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.24396704861862037,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/allenai/olmoe-1b-7b-0125-instruct/fd6d417c-7ee8-4b81-ab4b-770c90f085f2.json
ADDED
|
@@ -0,0 +1,669 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/allenai_olmoe-1b-7b-0125-instruct/a78e0bc75c88/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "olmoe-1b-7b-0125-instruct",
|
| 31 |
+
"id": "allenai/olmoe-1b-7b-0125-instruct",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "olmoe-1b-7b-0125-instruct",
|
| 35 |
+
"model_size": "1b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.6284658040665434,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_olmoe-1b-7b-0125-instruct_0\",\"ifeval_20260421T021146Z_1_olmoe-1b-7b-0125-instruct_0\",\"ifeval_20260421T021146Z_2_olmoe-1b-7b-0125-instruct_0\",\"ifeval_20260421T021146Z_3_olmoe-1b-7b-0125-instruct_0\",\"ifeval_20260421T021146Z_4_olmoe-1b-7b-0125-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01801599232305722,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.41904129253212163,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 2048,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::claude-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.claude-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for claude_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.claude-correctness",
|
| 128 |
+
"metric_name": "claude_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -1.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "claude_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 0.093,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-1.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_582_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_3933_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2696_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2406_olmoe-1b-7b-0125-instruct_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.009297173626292964,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.2940024446113288,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 2048,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-correctness",
|
| 198 |
+
"metric_name": "gpt_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "proportion",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": 0.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "true",
|
| 212 |
+
"bounds_source": "binary_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.094,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "0.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_582_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_3933_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2696_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2406_olmoe-1b-7b-0125-instruct_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.009233052000787672,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.29197474077263813,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 2048,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::llama-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.llama-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for llama_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.llama-correctness",
|
| 268 |
+
"metric_name": "llama_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "proportion",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": 0.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "llama_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "true",
|
| 282 |
+
"bounds_source": "binary_values",
|
| 283 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.091,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "0.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_582_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_3933_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2696_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2406_olmoe-1b-7b-0125-instruct_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.009099549538400338,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.2877530222287888,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 2048,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.09333333333333332,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_582_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_3933_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2696_olmoe-1b-7b-0125-instruct_0\",\"omni-math_20260421T014254Z_2406_olmoe-1b-7b-0125-instruct_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.00908198670349624,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.28719763662412423,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 2048,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 390 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 391 |
+
"source_data": {
|
| 392 |
+
"dataset_name": "wildbench",
|
| 393 |
+
"source_type": "hf_dataset",
|
| 394 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 395 |
+
"hf_split": "train",
|
| 396 |
+
"samples_number": 994,
|
| 397 |
+
"additional_details": {
|
| 398 |
+
"benchmark_name": "wildbench",
|
| 399 |
+
"benchmark_version": "v2",
|
| 400 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 401 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 402 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 403 |
+
}
|
| 404 |
+
},
|
| 405 |
+
"metric_config": {
|
| 406 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 407 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 408 |
+
"metric_name": "claude_score",
|
| 409 |
+
"metric_kind": "benchmark_score",
|
| 410 |
+
"metric_unit": "points",
|
| 411 |
+
"lower_is_better": false,
|
| 412 |
+
"score_type": "continuous",
|
| 413 |
+
"min_score": -1.0,
|
| 414 |
+
"max_score": 9.0,
|
| 415 |
+
"additional_details": {
|
| 416 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 417 |
+
"aggregation": "mean",
|
| 418 |
+
"raw_metric_name": "claude_score",
|
| 419 |
+
"response_count": "994",
|
| 420 |
+
"unique_sample_count": "994",
|
| 421 |
+
"score_values_are_binary": "false",
|
| 422 |
+
"bounds_source": "observed_values",
|
| 423 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 424 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 425 |
+
}
|
| 426 |
+
},
|
| 427 |
+
"score_details": {
|
| 428 |
+
"score": 6.0674044265593565,
|
| 429 |
+
"details": {
|
| 430 |
+
"min_instance_score": "-1.0",
|
| 431 |
+
"max_instance_score": "9.0",
|
| 432 |
+
"response_count": "994",
|
| 433 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_27_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_77_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_609_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_320_olmoe-1b-7b-0125-instruct_0\"]"
|
| 434 |
+
},
|
| 435 |
+
"uncertainty": {
|
| 436 |
+
"standard_error": {
|
| 437 |
+
"value": 0.06152671688337461,
|
| 438 |
+
"method": "analytic"
|
| 439 |
+
},
|
| 440 |
+
"standard_deviation": 1.9397999043984544,
|
| 441 |
+
"num_samples": 994
|
| 442 |
+
}
|
| 443 |
+
},
|
| 444 |
+
"generation_config": {
|
| 445 |
+
"generation_args": {
|
| 446 |
+
"temperature": 0.0,
|
| 447 |
+
"top_p": 1.0,
|
| 448 |
+
"top_k": 1.0,
|
| 449 |
+
"max_tokens": 2048,
|
| 450 |
+
"max_attempts": 1
|
| 451 |
+
},
|
| 452 |
+
"additional_details": {
|
| 453 |
+
"do_sample": "false",
|
| 454 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 455 |
+
}
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 460 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 461 |
+
"source_data": {
|
| 462 |
+
"dataset_name": "wildbench",
|
| 463 |
+
"source_type": "hf_dataset",
|
| 464 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 465 |
+
"hf_split": "train",
|
| 466 |
+
"samples_number": 994,
|
| 467 |
+
"additional_details": {
|
| 468 |
+
"benchmark_name": "wildbench",
|
| 469 |
+
"benchmark_version": "v2",
|
| 470 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 471 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 472 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 473 |
+
}
|
| 474 |
+
},
|
| 475 |
+
"metric_config": {
|
| 476 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 477 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 478 |
+
"metric_name": "gpt_score",
|
| 479 |
+
"metric_kind": "benchmark_score",
|
| 480 |
+
"metric_unit": "points",
|
| 481 |
+
"lower_is_better": false,
|
| 482 |
+
"score_type": "continuous",
|
| 483 |
+
"min_score": 0.0,
|
| 484 |
+
"max_score": 10.0,
|
| 485 |
+
"additional_details": {
|
| 486 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 487 |
+
"aggregation": "mean",
|
| 488 |
+
"raw_metric_name": "gpt_score",
|
| 489 |
+
"response_count": "994",
|
| 490 |
+
"unique_sample_count": "994",
|
| 491 |
+
"score_values_are_binary": "false",
|
| 492 |
+
"bounds_source": "observed_values",
|
| 493 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 494 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
"score_details": {
|
| 498 |
+
"score": 5.507042253521127,
|
| 499 |
+
"details": {
|
| 500 |
+
"min_instance_score": "1.0",
|
| 501 |
+
"max_instance_score": "10.0",
|
| 502 |
+
"response_count": "994",
|
| 503 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_27_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_77_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_609_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_320_olmoe-1b-7b-0125-instruct_0\"]"
|
| 504 |
+
},
|
| 505 |
+
"uncertainty": {
|
| 506 |
+
"standard_error": {
|
| 507 |
+
"value": 0.07417373039492246,
|
| 508 |
+
"method": "analytic"
|
| 509 |
+
},
|
| 510 |
+
"standard_deviation": 2.338531981182736,
|
| 511 |
+
"num_samples": 994
|
| 512 |
+
}
|
| 513 |
+
},
|
| 514 |
+
"generation_config": {
|
| 515 |
+
"generation_args": {
|
| 516 |
+
"temperature": 0.0,
|
| 517 |
+
"top_p": 1.0,
|
| 518 |
+
"top_k": 1.0,
|
| 519 |
+
"max_tokens": 2048,
|
| 520 |
+
"max_attempts": 1
|
| 521 |
+
},
|
| 522 |
+
"additional_details": {
|
| 523 |
+
"do_sample": "false",
|
| 524 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 525 |
+
}
|
| 526 |
+
}
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 530 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 531 |
+
"source_data": {
|
| 532 |
+
"dataset_name": "wildbench",
|
| 533 |
+
"source_type": "hf_dataset",
|
| 534 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 535 |
+
"hf_split": "train",
|
| 536 |
+
"samples_number": 994,
|
| 537 |
+
"additional_details": {
|
| 538 |
+
"benchmark_name": "wildbench",
|
| 539 |
+
"benchmark_version": "v2",
|
| 540 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 541 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 542 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 543 |
+
}
|
| 544 |
+
},
|
| 545 |
+
"metric_config": {
|
| 546 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 547 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 548 |
+
"metric_name": "llama_score",
|
| 549 |
+
"metric_kind": "benchmark_score",
|
| 550 |
+
"metric_unit": "points",
|
| 551 |
+
"lower_is_better": false,
|
| 552 |
+
"score_type": "continuous",
|
| 553 |
+
"min_score": 0.0,
|
| 554 |
+
"max_score": 10.0,
|
| 555 |
+
"additional_details": {
|
| 556 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 557 |
+
"aggregation": "mean",
|
| 558 |
+
"raw_metric_name": "llama_score",
|
| 559 |
+
"response_count": "994",
|
| 560 |
+
"unique_sample_count": "994",
|
| 561 |
+
"score_values_are_binary": "false",
|
| 562 |
+
"bounds_source": "observed_values",
|
| 563 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 564 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 565 |
+
}
|
| 566 |
+
},
|
| 567 |
+
"score_details": {
|
| 568 |
+
"score": 6.382796780684105,
|
| 569 |
+
"details": {
|
| 570 |
+
"min_instance_score": "1.0",
|
| 571 |
+
"max_instance_score": "10.0",
|
| 572 |
+
"response_count": "994",
|
| 573 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_27_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_77_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_609_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_320_olmoe-1b-7b-0125-instruct_0\"]"
|
| 574 |
+
},
|
| 575 |
+
"uncertainty": {
|
| 576 |
+
"standard_error": {
|
| 577 |
+
"value": 0.07225122622394661,
|
| 578 |
+
"method": "analytic"
|
| 579 |
+
},
|
| 580 |
+
"standard_deviation": 2.277919720428867,
|
| 581 |
+
"num_samples": 994
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
"generation_config": {
|
| 585 |
+
"generation_args": {
|
| 586 |
+
"temperature": 0.0,
|
| 587 |
+
"top_p": 1.0,
|
| 588 |
+
"top_k": 1.0,
|
| 589 |
+
"max_tokens": 2048,
|
| 590 |
+
"max_attempts": 1
|
| 591 |
+
},
|
| 592 |
+
"additional_details": {
|
| 593 |
+
"do_sample": "false",
|
| 594 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 595 |
+
}
|
| 596 |
+
}
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 600 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 601 |
+
"source_data": {
|
| 602 |
+
"dataset_name": "wildbench",
|
| 603 |
+
"source_type": "hf_dataset",
|
| 604 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 605 |
+
"hf_split": "train",
|
| 606 |
+
"samples_number": 1000,
|
| 607 |
+
"additional_details": {
|
| 608 |
+
"benchmark_name": "wildbench",
|
| 609 |
+
"benchmark_version": "v2",
|
| 610 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 611 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 612 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 613 |
+
}
|
| 614 |
+
},
|
| 615 |
+
"metric_config": {
|
| 616 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 617 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 618 |
+
"metric_name": "wildbench_score_rescaled",
|
| 619 |
+
"metric_kind": "benchmark_score",
|
| 620 |
+
"metric_unit": "score",
|
| 621 |
+
"lower_is_better": false,
|
| 622 |
+
"score_type": "continuous",
|
| 623 |
+
"min_score": 0.0,
|
| 624 |
+
"max_score": 1.0,
|
| 625 |
+
"additional_details": {
|
| 626 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 627 |
+
"aggregation": "mean",
|
| 628 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 629 |
+
"response_count": "1000",
|
| 630 |
+
"unique_sample_count": "1000",
|
| 631 |
+
"score_values_are_binary": "false",
|
| 632 |
+
"bounds_source": "normalized_observed_values",
|
| 633 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 634 |
+
"extra_artifact_types_json": "[]"
|
| 635 |
+
}
|
| 636 |
+
},
|
| 637 |
+
"score_details": {
|
| 638 |
+
"score": 0.5510555555555555,
|
| 639 |
+
"details": {
|
| 640 |
+
"min_instance_score": "0.0",
|
| 641 |
+
"max_instance_score": "0.9629629629629629",
|
| 642 |
+
"response_count": "1000",
|
| 643 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_27_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_77_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_609_olmoe-1b-7b-0125-instruct_0\",\"wildbench_20260421T015543Z_320_olmoe-1b-7b-0125-instruct_0\"]"
|
| 644 |
+
},
|
| 645 |
+
"uncertainty": {
|
| 646 |
+
"standard_error": {
|
| 647 |
+
"value": 0.007248318289230962,
|
| 648 |
+
"method": "analytic"
|
| 649 |
+
},
|
| 650 |
+
"standard_deviation": 0.22921194999824956,
|
| 651 |
+
"num_samples": 1000
|
| 652 |
+
}
|
| 653 |
+
},
|
| 654 |
+
"generation_config": {
|
| 655 |
+
"generation_args": {
|
| 656 |
+
"temperature": 0.0,
|
| 657 |
+
"top_p": 1.0,
|
| 658 |
+
"top_k": 1.0,
|
| 659 |
+
"max_tokens": 2048,
|
| 660 |
+
"max_attempts": 1
|
| 661 |
+
},
|
| 662 |
+
"additional_details": {
|
| 663 |
+
"do_sample": "false",
|
| 664 |
+
"generation_config_hash": "a78e0bc75c88"
|
| 665 |
+
}
|
| 666 |
+
}
|
| 667 |
+
}
|
| 668 |
+
]
|
| 669 |
+
}
|
data/openeval/meta/deepseek-r1-distill-llama-8b/57e49395-fdcc-466e-b6f9-d4baf829dbcd.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_DeepSeek-R1-Distill-Llama-8B/758f5aa8b9a5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "DeepSeek-R1-Distill-Llama-8B",
|
| 31 |
+
"id": "meta/DeepSeek-R1-Distill-Llama-8B",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "DeepSeek-R1-Distill-Llama-8B",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "opentom::quasi-postfix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.opentom.quasi-postfix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "opentom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 4789,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "opentom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.466/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/SeacowX/OpenToM",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SeacowX/OpenToM\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_postfix_exact_match on opentom.",
|
| 57 |
+
"metric_id": "openeval.opentom.quasi-postfix-exact-match",
|
| 58 |
+
"metric_name": "quasi_postfix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_postfix_exact_match",
|
| 69 |
+
"response_count": "6500",
|
| 70 |
+
"unique_sample_count": "4789",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.5492307692307692,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "6500",
|
| 83 |
+
"example_response_ids_json": "[\"opentom_20260309T175802Z_15092_deepseek-r1-distill-llama-8b_0\",\"opentom_20260309T175802Z_15093_deepseek-r1-distill-llama-8b_0\",\"opentom_20260309T175802Z_15292_deepseek-r1-distill-llama-8b_0\",\"opentom_20260309T175802Z_15293_deepseek-r1-distill-llama-8b_0\",\"opentom_20260309T175802Z_14060_deepseek-r1-distill-llama-8b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.006172076397752486,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4976087076087058,
|
| 91 |
+
"num_samples": 6500
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 4096,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "false",
|
| 103 |
+
"generation_config_hash": "758f5aa8b9a5"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/deepseek-r1-distill-llama-8b/6ac355bf-9dfe-4710-8635-fcf5ebeb8bae.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_DeepSeek-R1-Distill-Llama-8B/c6be6c9e5931/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "DeepSeek-R1-Distill-Llama-8B",
|
| 31 |
+
"id": "meta/DeepSeek-R1-Distill-Llama-8B",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "DeepSeek-R1-Distill-Llama-8B",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "do-not-answer::do-not-answer-annotation",
|
| 41 |
+
"evaluation_name": "openeval.do-not-answer.do-not-answer-annotation",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "do-not-answer",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 938,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "do-not-answer",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.findings-eacl.61/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/LibrAI/do-not-answer",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/LibrAI/do-not-answer\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for do-not-answer_annotation on do-not-answer.",
|
| 57 |
+
"metric_id": "openeval.do-not-answer.do-not-answer-annotation",
|
| 58 |
+
"metric_name": "do-not-answer_annotation",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": -1.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "do-not-answer_annotation",
|
| 69 |
+
"response_count": "938",
|
| 70 |
+
"unique_sample_count": "938",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[\"gpt-5-2025-08-07\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"rubric\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": -0.0010660980810234541,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "-1.0",
|
| 81 |
+
"max_instance_score": "0.0",
|
| 82 |
+
"response_count": "938",
|
| 83 |
+
"example_response_ids_json": "[\"do-not-answer_20260308T000020Z_0_deepseek-r1-distill-llama-8b_0\",\"do-not-answer_20260308T000020Z_1_deepseek-r1-distill-llama-8b_0\",\"do-not-answer_20260308T000020Z_2_deepseek-r1-distill-llama-8b_0\",\"do-not-answer_20260308T000020Z_3_deepseek-r1-distill-llama-8b_0\",\"do-not-answer_20260308T000020Z_4_deepseek-r1-distill-llama-8b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0010660980810234541,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.03265115742241696,
|
| 91 |
+
"num_samples": 938
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"max_attempts": 1
|
| 99 |
+
},
|
| 100 |
+
"additional_details": {
|
| 101 |
+
"do_sample": "false",
|
| 102 |
+
"generation_config_hash": "c6be6c9e5931"
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
]
|
| 107 |
+
}
|
data/openeval/meta/deepseek-r1-distill-llama-8b/82f9507a-5af2-4584-9b6f-ff7b3117d412.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_DeepSeek-R1-Distill-Llama-8B/8ba36588df9e/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "DeepSeek-R1-Distill-Llama-8B",
|
| 31 |
+
"id": "meta/DeepSeek-R1-Distill-Llama-8B",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "DeepSeek-R1-Distill-Llama-8B",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "hi-tom::quasi-prefix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "hi-tom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 600,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "hi-tom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2023.findings-emnlp.717/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on hi-tom.",
|
| 57 |
+
"metric_id": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 58 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 69 |
+
"response_count": "600",
|
| 70 |
+
"unique_sample_count": "600",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.8633333333333333,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "600",
|
| 83 |
+
"example_response_ids_json": "[\"hi-tom_20260309T011341Z_0_deepseek-r1-distill-llama-8b_0\",\"hi-tom_20260309T011341Z_1_deepseek-r1-distill-llama-8b_0\",\"hi-tom_20260309T011341Z_2_deepseek-r1-distill-llama-8b_0\",\"hi-tom_20260309T011341Z_3_deepseek-r1-distill-llama-8b_0\",\"hi-tom_20260309T011341Z_4_deepseek-r1-distill-llama-8b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.014034829611310298,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3437817117461419,
|
| 91 |
+
"num_samples": 600
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 2048,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "true",
|
| 103 |
+
"generation_config_hash": "8ba36588df9e"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/deepseek-r1-distill-llama-8b/dbcbc0ea-ba2a-46fd-ae1b-6e1437dd2f22.json
ADDED
|
@@ -0,0 +1,241 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_DeepSeek-R1-Distill-Llama-8B/eaf388aeaaf1/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "DeepSeek-R1-Distill-Llama-8B",
|
| 31 |
+
"id": "meta/DeepSeek-R1-Distill-Llama-8B",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "DeepSeek-R1-Distill-Llama-8B",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "emobench::cause-quasi-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.emobench.cause-quasi-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "emobench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 400,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "emobench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for cause_quasi_exact_match on emobench.",
|
| 57 |
+
"metric_id": "openeval.emobench.cause-quasi-exact-match",
|
| 58 |
+
"metric_name": "cause_quasi_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "cause_quasi_exact_match",
|
| 69 |
+
"response_count": "400",
|
| 70 |
+
"unique_sample_count": "400",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.5525,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "400",
|
| 83 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_400_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_401_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_402_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_403_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_404_deepseek-r1-distill-llama-8b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.024892941194307634,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4978588238861527,
|
| 91 |
+
"num_samples": 400
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.6,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"max_attempts": 1
|
| 99 |
+
},
|
| 100 |
+
"additional_details": {
|
| 101 |
+
"do_sample": "true",
|
| 102 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"evaluation_result_id": "emobench::emotion-quasi-exact-match",
|
| 108 |
+
"evaluation_name": "openeval.emobench.emotion-quasi-exact-match",
|
| 109 |
+
"source_data": {
|
| 110 |
+
"dataset_name": "emobench",
|
| 111 |
+
"source_type": "hf_dataset",
|
| 112 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 113 |
+
"hf_split": "train",
|
| 114 |
+
"samples_number": 400,
|
| 115 |
+
"additional_details": {
|
| 116 |
+
"benchmark_name": "emobench",
|
| 117 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 118 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 119 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 120 |
+
}
|
| 121 |
+
},
|
| 122 |
+
"metric_config": {
|
| 123 |
+
"evaluation_description": "Mean OpenEval score for emotion_quasi_exact_match on emobench.",
|
| 124 |
+
"metric_id": "openeval.emobench.emotion-quasi-exact-match",
|
| 125 |
+
"metric_name": "emotion_quasi_exact_match",
|
| 126 |
+
"metric_kind": "benchmark_score",
|
| 127 |
+
"metric_unit": "proportion",
|
| 128 |
+
"lower_is_better": false,
|
| 129 |
+
"score_type": "continuous",
|
| 130 |
+
"min_score": 0.0,
|
| 131 |
+
"max_score": 1.0,
|
| 132 |
+
"additional_details": {
|
| 133 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 134 |
+
"aggregation": "mean",
|
| 135 |
+
"raw_metric_name": "emotion_quasi_exact_match",
|
| 136 |
+
"response_count": "400",
|
| 137 |
+
"unique_sample_count": "400",
|
| 138 |
+
"score_values_are_binary": "true",
|
| 139 |
+
"bounds_source": "binary_values",
|
| 140 |
+
"metric_models_json": "[]",
|
| 141 |
+
"extra_artifact_types_json": "[]"
|
| 142 |
+
}
|
| 143 |
+
},
|
| 144 |
+
"score_details": {
|
| 145 |
+
"score": 0.36,
|
| 146 |
+
"details": {
|
| 147 |
+
"min_instance_score": "0.0",
|
| 148 |
+
"max_instance_score": "1.0",
|
| 149 |
+
"response_count": "400",
|
| 150 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_400_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_401_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_402_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_403_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_404_deepseek-r1-distill-llama-8b_0\"]"
|
| 151 |
+
},
|
| 152 |
+
"uncertainty": {
|
| 153 |
+
"standard_error": {
|
| 154 |
+
"value": 0.024030056367444423,
|
| 155 |
+
"method": "analytic"
|
| 156 |
+
},
|
| 157 |
+
"standard_deviation": 0.4806011273488885,
|
| 158 |
+
"num_samples": 400
|
| 159 |
+
}
|
| 160 |
+
},
|
| 161 |
+
"generation_config": {
|
| 162 |
+
"generation_args": {
|
| 163 |
+
"temperature": 0.6,
|
| 164 |
+
"top_p": 1.0,
|
| 165 |
+
"max_attempts": 1
|
| 166 |
+
},
|
| 167 |
+
"additional_details": {
|
| 168 |
+
"do_sample": "true",
|
| 169 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 170 |
+
}
|
| 171 |
+
}
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"evaluation_result_id": "emobench::quasi-exact-match",
|
| 175 |
+
"evaluation_name": "openeval.emobench.quasi-exact-match",
|
| 176 |
+
"source_data": {
|
| 177 |
+
"dataset_name": "emobench",
|
| 178 |
+
"source_type": "hf_dataset",
|
| 179 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 180 |
+
"hf_split": "train",
|
| 181 |
+
"samples_number": 399,
|
| 182 |
+
"additional_details": {
|
| 183 |
+
"benchmark_name": "emobench",
|
| 184 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 185 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 186 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 187 |
+
}
|
| 188 |
+
},
|
| 189 |
+
"metric_config": {
|
| 190 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on emobench.",
|
| 191 |
+
"metric_id": "openeval.emobench.quasi-exact-match",
|
| 192 |
+
"metric_name": "quasi_exact_match",
|
| 193 |
+
"metric_kind": "benchmark_score",
|
| 194 |
+
"metric_unit": "proportion",
|
| 195 |
+
"lower_is_better": false,
|
| 196 |
+
"score_type": "continuous",
|
| 197 |
+
"min_score": 0.0,
|
| 198 |
+
"max_score": 1.0,
|
| 199 |
+
"additional_details": {
|
| 200 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 201 |
+
"aggregation": "mean",
|
| 202 |
+
"raw_metric_name": "quasi_exact_match",
|
| 203 |
+
"response_count": "399",
|
| 204 |
+
"unique_sample_count": "399",
|
| 205 |
+
"score_values_are_binary": "true",
|
| 206 |
+
"bounds_source": "binary_values",
|
| 207 |
+
"metric_models_json": "[]",
|
| 208 |
+
"extra_artifact_types_json": "[]"
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
"score_details": {
|
| 212 |
+
"score": 0.5789473684210527,
|
| 213 |
+
"details": {
|
| 214 |
+
"min_instance_score": "0.0",
|
| 215 |
+
"max_instance_score": "1.0",
|
| 216 |
+
"response_count": "399",
|
| 217 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_0_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_1_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_2_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_3_deepseek-r1-distill-llama-8b_0\",\"emobench_20260308T044710Z_4_deepseek-r1-distill-llama-8b_0\"]"
|
| 218 |
+
},
|
| 219 |
+
"uncertainty": {
|
| 220 |
+
"standard_error": {
|
| 221 |
+
"value": 0.02474834713629111,
|
| 222 |
+
"method": "analytic"
|
| 223 |
+
},
|
| 224 |
+
"standard_deviation": 0.49434784687036815,
|
| 225 |
+
"num_samples": 399
|
| 226 |
+
}
|
| 227 |
+
},
|
| 228 |
+
"generation_config": {
|
| 229 |
+
"generation_args": {
|
| 230 |
+
"temperature": 0.6,
|
| 231 |
+
"top_p": 1.0,
|
| 232 |
+
"max_attempts": 1
|
| 233 |
+
},
|
| 234 |
+
"additional_details": {
|
| 235 |
+
"do_sample": "true",
|
| 236 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 237 |
+
}
|
| 238 |
+
}
|
| 239 |
+
}
|
| 240 |
+
]
|
| 241 |
+
}
|
data/openeval/meta/llama-2-13b-hf/5457de62-2294-401d-b83c-4147bf1959f7.json
ADDED
|
@@ -0,0 +1,389 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b-hf/9188da3bfb5d/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b-hf",
|
| 31 |
+
"id": "meta/llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[\"instruction_info\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.2751078250154036,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_llama-2-13b-hf_0\",\"ifeval_20260421T021146Z_1_llama-2-13b-hf_0\",\"ifeval_20260421T021146Z_2_llama-2-13b-hf_0\",\"ifeval_20260421T021146Z_3_llama-2-13b-hf_0\",\"ifeval_20260421T021146Z_4_llama-2-13b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.016143792185181426,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.37549502810292146,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::gpt-4o-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.gpt-4o-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for gpt-4o_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.gpt-4o-correctness",
|
| 128 |
+
"metric_name": "gpt-4o_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -1.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "gpt-4o_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": -0.007,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-1.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_582_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_3933_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2696_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2406_llama-2-13b-hf_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.004355452900671751,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.13773151407709844,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 4096,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-5-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-5-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt-5_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-5-correctness",
|
| 198 |
+
"metric_name": "gpt-5_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "points",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": -1.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt-5_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "false",
|
| 212 |
+
"bounds_source": "observed_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-5-2025-08-07\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.003,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "-1.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_582_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_3933_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2696_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2406_llama-2-13b-hf_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.0022351724756707247,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.07068235986436783,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 4096,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::gpt-5-mini-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.gpt-5-mini-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for gpt-5-mini_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.gpt-5-mini-correctness",
|
| 268 |
+
"metric_name": "gpt-5-mini_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "points",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": -1.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "gpt-5-mini_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "false",
|
| 282 |
+
"bounds_source": "observed_values",
|
| 283 |
+
"metric_models_json": "[\"openai/gpt-5-mini-2025-08-07\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.005,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "-1.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_582_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_3933_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2696_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2406_llama-2-13b-hf_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.005385536556741956,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.17030561941405223,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 4096,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\",\"openai/gpt-5-2025-08-07\",\"openai/gpt-5-mini-2025-08-07\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.009,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_582_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_3933_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2696_llama-2-13b-hf_0\",\"omni-math_20260421T014254Z_2406_llama-2-13b-hf_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.0022189916457535223,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.07017067709466629,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 4096,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
}
|
| 388 |
+
]
|
| 389 |
+
}
|
data/openeval/meta/llama-2-13b-hf/7f1c4325-f0d6-4818-b324-fc820d73eb98.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-13b-hf/c6be6c9e5931/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-13b-hf",
|
| 31 |
+
"id": "meta/Llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "culturalbench::quasi-prefix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.culturalbench.quasi-prefix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "culturalbench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 6135,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "culturalbench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2025.acl-long.1247/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/kellycyy/CulturalBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/kellycyy/CulturalBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on culturalbench.",
|
| 57 |
+
"metric_id": "openeval.culturalbench.quasi-prefix-exact-match",
|
| 58 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"cultural knowledge\",\"culture\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 69 |
+
"response_count": "6135",
|
| 70 |
+
"unique_sample_count": "6135",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.00016299918500407498,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "6135",
|
| 83 |
+
"example_response_ids_json": "[\"culturalbench_20260307T223011Z_0_llama-2-13b-hf_0\",\"culturalbench_20260307T223011Z_1_llama-2-13b-hf_0\",\"culturalbench_20260307T223011Z_2_llama-2-13b-hf_0\",\"culturalbench_20260307T223011Z_3_llama-2-13b-hf_0\",\"culturalbench_20260307T223011Z_4_llama-2-13b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.00016299918500407498,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.012767113417060058,
|
| 91 |
+
"num_samples": 6135
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"max_attempts": 1
|
| 99 |
+
},
|
| 100 |
+
"additional_details": {
|
| 101 |
+
"do_sample": "false",
|
| 102 |
+
"generation_config_hash": "c6be6c9e5931"
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
]
|
| 107 |
+
}
|
data/openeval/meta/llama-2-13b-hf/8f09ad13-63a0-43bd-9ef1-560356a52a7e.json
ADDED
|
@@ -0,0 +1,1075 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-13b-hf/3c2453a08514/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-13b-hf",
|
| 31 |
+
"id": "meta/Llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "truthfulqa::bleu-acc",
|
| 41 |
+
"evaluation_name": "openeval.truthfulqa.bleu-acc",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "truthfulqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 790,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "truthfulqa",
|
| 50 |
+
"benchmark_version": "v1",
|
| 51 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 52 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 53 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"metric_config": {
|
| 57 |
+
"evaluation_description": "Mean OpenEval score for bleu_acc on truthfulqa.",
|
| 58 |
+
"metric_id": "openeval.truthfulqa.bleu-acc",
|
| 59 |
+
"metric_name": "bleu_acc",
|
| 60 |
+
"metric_kind": "benchmark_score",
|
| 61 |
+
"metric_unit": "proportion",
|
| 62 |
+
"lower_is_better": false,
|
| 63 |
+
"score_type": "continuous",
|
| 64 |
+
"min_score": 0.0,
|
| 65 |
+
"max_score": 1.0,
|
| 66 |
+
"additional_details": {
|
| 67 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 68 |
+
"aggregation": "mean",
|
| 69 |
+
"raw_metric_name": "bleu_acc",
|
| 70 |
+
"response_count": "790",
|
| 71 |
+
"unique_sample_count": "790",
|
| 72 |
+
"score_values_are_binary": "true",
|
| 73 |
+
"bounds_source": "binary_values",
|
| 74 |
+
"metric_models_json": "[]",
|
| 75 |
+
"extra_artifact_types_json": "[]"
|
| 76 |
+
}
|
| 77 |
+
},
|
| 78 |
+
"score_details": {
|
| 79 |
+
"score": 0.660759493670886,
|
| 80 |
+
"details": {
|
| 81 |
+
"min_instance_score": "0.0",
|
| 82 |
+
"max_instance_score": "1.0",
|
| 83 |
+
"response_count": "790",
|
| 84 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 85 |
+
},
|
| 86 |
+
"uncertainty": {
|
| 87 |
+
"standard_error": {
|
| 88 |
+
"value": 0.016855322078679503,
|
| 89 |
+
"method": "analytic"
|
| 90 |
+
},
|
| 91 |
+
"standard_deviation": 0.47375150350901934,
|
| 92 |
+
"num_samples": 790
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"generation_config": {
|
| 96 |
+
"generation_args": {
|
| 97 |
+
"temperature": 0.0,
|
| 98 |
+
"top_p": 1.0,
|
| 99 |
+
"max_tokens": 50,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "3c2453a08514"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "truthfulqa::bleu-diff",
|
| 110 |
+
"evaluation_name": "openeval.truthfulqa.bleu-diff",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "truthfulqa",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 790,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "truthfulqa",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for bleu_diff on truthfulqa.",
|
| 127 |
+
"metric_id": "openeval.truthfulqa.bleu-diff",
|
| 128 |
+
"metric_name": "bleu_diff",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -30.91285667508924,
|
| 134 |
+
"max_score": 18.381337374747464,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "bleu_diff",
|
| 139 |
+
"response_count": "790",
|
| 140 |
+
"unique_sample_count": "790",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[]",
|
| 144 |
+
"extra_artifact_types_json": "[]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 3.61978214342527,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-30.91285667508924",
|
| 151 |
+
"max_instance_score": "18.381337374747464",
|
| 152 |
+
"response_count": "790",
|
| 153 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.17042639356815034,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 4.790164187527438,
|
| 161 |
+
"num_samples": 790
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"max_tokens": 50,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "3c2453a08514"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "truthfulqa::bleu-max",
|
| 179 |
+
"evaluation_name": "openeval.truthfulqa.bleu-max",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "truthfulqa",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 790,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "truthfulqa",
|
| 188 |
+
"benchmark_version": "v1",
|
| 189 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 190 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 191 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 192 |
+
}
|
| 193 |
+
},
|
| 194 |
+
"metric_config": {
|
| 195 |
+
"evaluation_description": "Mean OpenEval score for bleu_max on truthfulqa.",
|
| 196 |
+
"metric_id": "openeval.truthfulqa.bleu-max",
|
| 197 |
+
"metric_name": "bleu_max",
|
| 198 |
+
"metric_kind": "benchmark_score",
|
| 199 |
+
"metric_unit": "points",
|
| 200 |
+
"lower_is_better": false,
|
| 201 |
+
"score_type": "continuous",
|
| 202 |
+
"min_score": 0.0,
|
| 203 |
+
"max_score": 51.03340967897774,
|
| 204 |
+
"additional_details": {
|
| 205 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 206 |
+
"aggregation": "mean",
|
| 207 |
+
"raw_metric_name": "bleu_max",
|
| 208 |
+
"response_count": "790",
|
| 209 |
+
"unique_sample_count": "790",
|
| 210 |
+
"score_values_are_binary": "false",
|
| 211 |
+
"bounds_source": "observed_values",
|
| 212 |
+
"metric_models_json": "[]",
|
| 213 |
+
"extra_artifact_types_json": "[]"
|
| 214 |
+
}
|
| 215 |
+
},
|
| 216 |
+
"score_details": {
|
| 217 |
+
"score": 6.040367034984175,
|
| 218 |
+
"details": {
|
| 219 |
+
"min_instance_score": "0.8130350574508933",
|
| 220 |
+
"max_instance_score": "51.03340967897774",
|
| 221 |
+
"response_count": "790",
|
| 222 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 223 |
+
},
|
| 224 |
+
"uncertainty": {
|
| 225 |
+
"standard_error": {
|
| 226 |
+
"value": 0.19750153214968774,
|
| 227 |
+
"method": "analytic"
|
| 228 |
+
},
|
| 229 |
+
"standard_deviation": 5.551163446446571,
|
| 230 |
+
"num_samples": 790
|
| 231 |
+
}
|
| 232 |
+
},
|
| 233 |
+
"generation_config": {
|
| 234 |
+
"generation_args": {
|
| 235 |
+
"temperature": 0.0,
|
| 236 |
+
"top_p": 1.0,
|
| 237 |
+
"max_tokens": 50,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "3c2453a08514"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "truthfulqa::bleurt-acc",
|
| 248 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-acc",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "truthfulqa",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 790,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "truthfulqa",
|
| 257 |
+
"benchmark_version": "v1",
|
| 258 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 259 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 260 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 261 |
+
}
|
| 262 |
+
},
|
| 263 |
+
"metric_config": {
|
| 264 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_acc on truthfulqa.",
|
| 265 |
+
"metric_id": "openeval.truthfulqa.bleurt-acc",
|
| 266 |
+
"metric_name": "BLEURT_acc",
|
| 267 |
+
"metric_kind": "benchmark_score",
|
| 268 |
+
"metric_unit": "proportion",
|
| 269 |
+
"lower_is_better": false,
|
| 270 |
+
"score_type": "continuous",
|
| 271 |
+
"min_score": 0.0,
|
| 272 |
+
"max_score": 1.0,
|
| 273 |
+
"additional_details": {
|
| 274 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 275 |
+
"aggregation": "mean",
|
| 276 |
+
"raw_metric_name": "BLEURT_acc",
|
| 277 |
+
"response_count": "790",
|
| 278 |
+
"unique_sample_count": "790",
|
| 279 |
+
"score_values_are_binary": "true",
|
| 280 |
+
"bounds_source": "binary_values",
|
| 281 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 282 |
+
"extra_artifact_types_json": "[]"
|
| 283 |
+
}
|
| 284 |
+
},
|
| 285 |
+
"score_details": {
|
| 286 |
+
"score": 0.610126582278481,
|
| 287 |
+
"details": {
|
| 288 |
+
"min_instance_score": "0.0",
|
| 289 |
+
"max_instance_score": "1.0",
|
| 290 |
+
"response_count": "790",
|
| 291 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 292 |
+
},
|
| 293 |
+
"uncertainty": {
|
| 294 |
+
"standard_error": {
|
| 295 |
+
"value": 0.017363340600258473,
|
| 296 |
+
"method": "analytic"
|
| 297 |
+
},
|
| 298 |
+
"standard_deviation": 0.48803034892561914,
|
| 299 |
+
"num_samples": 790
|
| 300 |
+
}
|
| 301 |
+
},
|
| 302 |
+
"generation_config": {
|
| 303 |
+
"generation_args": {
|
| 304 |
+
"temperature": 0.0,
|
| 305 |
+
"top_p": 1.0,
|
| 306 |
+
"max_tokens": 50,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "3c2453a08514"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "truthfulqa::bleurt-diff",
|
| 317 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-diff",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "truthfulqa",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 790,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "truthfulqa",
|
| 326 |
+
"benchmark_version": "v1",
|
| 327 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 328 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 329 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 330 |
+
}
|
| 331 |
+
},
|
| 332 |
+
"metric_config": {
|
| 333 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_diff on truthfulqa.",
|
| 334 |
+
"metric_id": "openeval.truthfulqa.bleurt-diff",
|
| 335 |
+
"metric_name": "BLEURT_diff",
|
| 336 |
+
"metric_kind": "benchmark_score",
|
| 337 |
+
"metric_unit": "points",
|
| 338 |
+
"lower_is_better": false,
|
| 339 |
+
"score_type": "continuous",
|
| 340 |
+
"min_score": -0.7800843119621277,
|
| 341 |
+
"max_score": 1.0,
|
| 342 |
+
"additional_details": {
|
| 343 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 344 |
+
"aggregation": "mean",
|
| 345 |
+
"raw_metric_name": "BLEURT_diff",
|
| 346 |
+
"response_count": "790",
|
| 347 |
+
"unique_sample_count": "790",
|
| 348 |
+
"score_values_are_binary": "false",
|
| 349 |
+
"bounds_source": "observed_values",
|
| 350 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 351 |
+
"extra_artifact_types_json": "[]"
|
| 352 |
+
}
|
| 353 |
+
},
|
| 354 |
+
"score_details": {
|
| 355 |
+
"score": 0.017275099097927904,
|
| 356 |
+
"details": {
|
| 357 |
+
"min_instance_score": "-0.7800843119621277",
|
| 358 |
+
"max_instance_score": "0.5492717027664185",
|
| 359 |
+
"response_count": "790",
|
| 360 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 361 |
+
},
|
| 362 |
+
"uncertainty": {
|
| 363 |
+
"standard_error": {
|
| 364 |
+
"value": 0.004629602745906039,
|
| 365 |
+
"method": "analytic"
|
| 366 |
+
},
|
| 367 |
+
"standard_deviation": 0.13012396033041565,
|
| 368 |
+
"num_samples": 790
|
| 369 |
+
}
|
| 370 |
+
},
|
| 371 |
+
"generation_config": {
|
| 372 |
+
"generation_args": {
|
| 373 |
+
"temperature": 0.0,
|
| 374 |
+
"top_p": 1.0,
|
| 375 |
+
"max_tokens": 50,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "3c2453a08514"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "truthfulqa::bleurt-max",
|
| 386 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-max",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "truthfulqa",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 790,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "truthfulqa",
|
| 395 |
+
"benchmark_version": "v1",
|
| 396 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 397 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 398 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 399 |
+
}
|
| 400 |
+
},
|
| 401 |
+
"metric_config": {
|
| 402 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_max on truthfulqa.",
|
| 403 |
+
"metric_id": "openeval.truthfulqa.bleurt-max",
|
| 404 |
+
"metric_name": "BLEURT_max",
|
| 405 |
+
"metric_kind": "benchmark_score",
|
| 406 |
+
"metric_unit": "points",
|
| 407 |
+
"lower_is_better": false,
|
| 408 |
+
"score_type": "continuous",
|
| 409 |
+
"min_score": -1.9667134284973145,
|
| 410 |
+
"max_score": 1.0,
|
| 411 |
+
"additional_details": {
|
| 412 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 413 |
+
"aggregation": "mean",
|
| 414 |
+
"raw_metric_name": "BLEURT_max",
|
| 415 |
+
"response_count": "790",
|
| 416 |
+
"unique_sample_count": "790",
|
| 417 |
+
"score_values_are_binary": "false",
|
| 418 |
+
"bounds_source": "observed_values",
|
| 419 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 420 |
+
"extra_artifact_types_json": "[]"
|
| 421 |
+
}
|
| 422 |
+
},
|
| 423 |
+
"score_details": {
|
| 424 |
+
"score": -1.559054077388365,
|
| 425 |
+
"details": {
|
| 426 |
+
"min_instance_score": "-1.9667134284973145",
|
| 427 |
+
"max_instance_score": "-0.4715173542499542",
|
| 428 |
+
"response_count": "790",
|
| 429 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 430 |
+
},
|
| 431 |
+
"uncertainty": {
|
| 432 |
+
"standard_error": {
|
| 433 |
+
"value": 0.007551713258575713,
|
| 434 |
+
"method": "analytic"
|
| 435 |
+
},
|
| 436 |
+
"standard_deviation": 0.21225554122425425,
|
| 437 |
+
"num_samples": 790
|
| 438 |
+
}
|
| 439 |
+
},
|
| 440 |
+
"generation_config": {
|
| 441 |
+
"generation_args": {
|
| 442 |
+
"temperature": 0.0,
|
| 443 |
+
"top_p": 1.0,
|
| 444 |
+
"max_tokens": 50,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "3c2453a08514"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "truthfulqa::rouge1-acc",
|
| 455 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-acc",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "truthfulqa",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 790,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "truthfulqa",
|
| 464 |
+
"benchmark_version": "v1",
|
| 465 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 466 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 467 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 468 |
+
}
|
| 469 |
+
},
|
| 470 |
+
"metric_config": {
|
| 471 |
+
"evaluation_description": "Mean OpenEval score for rouge1_acc on truthfulqa.",
|
| 472 |
+
"metric_id": "openeval.truthfulqa.rouge1-acc",
|
| 473 |
+
"metric_name": "rouge1_acc",
|
| 474 |
+
"metric_kind": "benchmark_score",
|
| 475 |
+
"metric_unit": "proportion",
|
| 476 |
+
"lower_is_better": false,
|
| 477 |
+
"score_type": "continuous",
|
| 478 |
+
"min_score": 0.0,
|
| 479 |
+
"max_score": 1.0,
|
| 480 |
+
"additional_details": {
|
| 481 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 482 |
+
"aggregation": "mean",
|
| 483 |
+
"raw_metric_name": "rouge1_acc",
|
| 484 |
+
"response_count": "790",
|
| 485 |
+
"unique_sample_count": "790",
|
| 486 |
+
"score_values_are_binary": "true",
|
| 487 |
+
"bounds_source": "binary_values",
|
| 488 |
+
"metric_models_json": "[]",
|
| 489 |
+
"extra_artifact_types_json": "[]"
|
| 490 |
+
}
|
| 491 |
+
},
|
| 492 |
+
"score_details": {
|
| 493 |
+
"score": 0.6822784810126582,
|
| 494 |
+
"details": {
|
| 495 |
+
"min_instance_score": "0.0",
|
| 496 |
+
"max_instance_score": "1.0",
|
| 497 |
+
"response_count": "790",
|
| 498 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 499 |
+
},
|
| 500 |
+
"uncertainty": {
|
| 501 |
+
"standard_error": {
|
| 502 |
+
"value": 0.016575462317119802,
|
| 503 |
+
"method": "analytic"
|
| 504 |
+
},
|
| 505 |
+
"standard_deviation": 0.4658855023616256,
|
| 506 |
+
"num_samples": 790
|
| 507 |
+
}
|
| 508 |
+
},
|
| 509 |
+
"generation_config": {
|
| 510 |
+
"generation_args": {
|
| 511 |
+
"temperature": 0.0,
|
| 512 |
+
"top_p": 1.0,
|
| 513 |
+
"max_tokens": 50,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "3c2453a08514"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "truthfulqa::rouge1-diff",
|
| 524 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-diff",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "truthfulqa",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 790,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "truthfulqa",
|
| 533 |
+
"benchmark_version": "v1",
|
| 534 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 535 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 536 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 537 |
+
}
|
| 538 |
+
},
|
| 539 |
+
"metric_config": {
|
| 540 |
+
"evaluation_description": "Mean OpenEval score for rouge1_diff on truthfulqa.",
|
| 541 |
+
"metric_id": "openeval.truthfulqa.rouge1-diff",
|
| 542 |
+
"metric_name": "rouge1_diff",
|
| 543 |
+
"metric_kind": "benchmark_score",
|
| 544 |
+
"metric_unit": "points",
|
| 545 |
+
"lower_is_better": false,
|
| 546 |
+
"score_type": "continuous",
|
| 547 |
+
"min_score": -37.14285714285714,
|
| 548 |
+
"max_score": 24.24242424242424,
|
| 549 |
+
"additional_details": {
|
| 550 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 551 |
+
"aggregation": "mean",
|
| 552 |
+
"raw_metric_name": "rouge1_diff",
|
| 553 |
+
"response_count": "790",
|
| 554 |
+
"unique_sample_count": "790",
|
| 555 |
+
"score_values_are_binary": "false",
|
| 556 |
+
"bounds_source": "observed_values",
|
| 557 |
+
"metric_models_json": "[]",
|
| 558 |
+
"extra_artifact_types_json": "[]"
|
| 559 |
+
}
|
| 560 |
+
},
|
| 561 |
+
"score_details": {
|
| 562 |
+
"score": 6.766670757817975,
|
| 563 |
+
"details": {
|
| 564 |
+
"min_instance_score": "-37.14285714285714",
|
| 565 |
+
"max_instance_score": "24.24242424242424",
|
| 566 |
+
"response_count": "790",
|
| 567 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 568 |
+
},
|
| 569 |
+
"uncertainty": {
|
| 570 |
+
"standard_error": {
|
| 571 |
+
"value": 0.35101643031134333,
|
| 572 |
+
"method": "analytic"
|
| 573 |
+
},
|
| 574 |
+
"standard_deviation": 9.865997270186595,
|
| 575 |
+
"num_samples": 790
|
| 576 |
+
}
|
| 577 |
+
},
|
| 578 |
+
"generation_config": {
|
| 579 |
+
"generation_args": {
|
| 580 |
+
"temperature": 0.0,
|
| 581 |
+
"top_p": 1.0,
|
| 582 |
+
"max_tokens": 50,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "3c2453a08514"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"evaluation_result_id": "truthfulqa::rouge1-max",
|
| 593 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-max",
|
| 594 |
+
"source_data": {
|
| 595 |
+
"dataset_name": "truthfulqa",
|
| 596 |
+
"source_type": "hf_dataset",
|
| 597 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 598 |
+
"hf_split": "train",
|
| 599 |
+
"samples_number": 790,
|
| 600 |
+
"additional_details": {
|
| 601 |
+
"benchmark_name": "truthfulqa",
|
| 602 |
+
"benchmark_version": "v1",
|
| 603 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 604 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 605 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 606 |
+
}
|
| 607 |
+
},
|
| 608 |
+
"metric_config": {
|
| 609 |
+
"evaluation_description": "Mean OpenEval score for rouge1_max on truthfulqa.",
|
| 610 |
+
"metric_id": "openeval.truthfulqa.rouge1-max",
|
| 611 |
+
"metric_name": "rouge1_max",
|
| 612 |
+
"metric_kind": "benchmark_score",
|
| 613 |
+
"metric_unit": "points",
|
| 614 |
+
"lower_is_better": false,
|
| 615 |
+
"score_type": "continuous",
|
| 616 |
+
"min_score": 0.0,
|
| 617 |
+
"max_score": 78.43137254901961,
|
| 618 |
+
"additional_details": {
|
| 619 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 620 |
+
"aggregation": "mean",
|
| 621 |
+
"raw_metric_name": "rouge1_max",
|
| 622 |
+
"response_count": "790",
|
| 623 |
+
"unique_sample_count": "790",
|
| 624 |
+
"score_values_are_binary": "false",
|
| 625 |
+
"bounds_source": "observed_values",
|
| 626 |
+
"metric_models_json": "[]",
|
| 627 |
+
"extra_artifact_types_json": "[]"
|
| 628 |
+
}
|
| 629 |
+
},
|
| 630 |
+
"score_details": {
|
| 631 |
+
"score": 18.44178557736766,
|
| 632 |
+
"details": {
|
| 633 |
+
"min_instance_score": "0.0",
|
| 634 |
+
"max_instance_score": "78.43137254901961",
|
| 635 |
+
"response_count": "790",
|
| 636 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 637 |
+
},
|
| 638 |
+
"uncertainty": {
|
| 639 |
+
"standard_error": {
|
| 640 |
+
"value": 0.37711141001195203,
|
| 641 |
+
"method": "analytic"
|
| 642 |
+
},
|
| 643 |
+
"standard_deviation": 10.599447263577005,
|
| 644 |
+
"num_samples": 790
|
| 645 |
+
}
|
| 646 |
+
},
|
| 647 |
+
"generation_config": {
|
| 648 |
+
"generation_args": {
|
| 649 |
+
"temperature": 0.0,
|
| 650 |
+
"top_p": 1.0,
|
| 651 |
+
"max_tokens": 50,
|
| 652 |
+
"max_attempts": 1
|
| 653 |
+
},
|
| 654 |
+
"additional_details": {
|
| 655 |
+
"do_sample": "false",
|
| 656 |
+
"generation_config_hash": "3c2453a08514"
|
| 657 |
+
}
|
| 658 |
+
}
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"evaluation_result_id": "truthfulqa::rouge2-acc",
|
| 662 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-acc",
|
| 663 |
+
"source_data": {
|
| 664 |
+
"dataset_name": "truthfulqa",
|
| 665 |
+
"source_type": "hf_dataset",
|
| 666 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 667 |
+
"hf_split": "train",
|
| 668 |
+
"samples_number": 790,
|
| 669 |
+
"additional_details": {
|
| 670 |
+
"benchmark_name": "truthfulqa",
|
| 671 |
+
"benchmark_version": "v1",
|
| 672 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 673 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 674 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 675 |
+
}
|
| 676 |
+
},
|
| 677 |
+
"metric_config": {
|
| 678 |
+
"evaluation_description": "Mean OpenEval score for rouge2_acc on truthfulqa.",
|
| 679 |
+
"metric_id": "openeval.truthfulqa.rouge2-acc",
|
| 680 |
+
"metric_name": "rouge2_acc",
|
| 681 |
+
"metric_kind": "benchmark_score",
|
| 682 |
+
"metric_unit": "proportion",
|
| 683 |
+
"lower_is_better": false,
|
| 684 |
+
"score_type": "continuous",
|
| 685 |
+
"min_score": 0.0,
|
| 686 |
+
"max_score": 1.0,
|
| 687 |
+
"additional_details": {
|
| 688 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 689 |
+
"aggregation": "mean",
|
| 690 |
+
"raw_metric_name": "rouge2_acc",
|
| 691 |
+
"response_count": "790",
|
| 692 |
+
"unique_sample_count": "790",
|
| 693 |
+
"score_values_are_binary": "true",
|
| 694 |
+
"bounds_source": "binary_values",
|
| 695 |
+
"metric_models_json": "[]",
|
| 696 |
+
"extra_artifact_types_json": "[]"
|
| 697 |
+
}
|
| 698 |
+
},
|
| 699 |
+
"score_details": {
|
| 700 |
+
"score": 0.5544303797468354,
|
| 701 |
+
"details": {
|
| 702 |
+
"min_instance_score": "0.0",
|
| 703 |
+
"max_instance_score": "1.0",
|
| 704 |
+
"response_count": "790",
|
| 705 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 706 |
+
},
|
| 707 |
+
"uncertainty": {
|
| 708 |
+
"standard_error": {
|
| 709 |
+
"value": 0.017694683302819852,
|
| 710 |
+
"method": "analytic"
|
| 711 |
+
},
|
| 712 |
+
"standard_deviation": 0.4973433779370169,
|
| 713 |
+
"num_samples": 790
|
| 714 |
+
}
|
| 715 |
+
},
|
| 716 |
+
"generation_config": {
|
| 717 |
+
"generation_args": {
|
| 718 |
+
"temperature": 0.0,
|
| 719 |
+
"top_p": 1.0,
|
| 720 |
+
"max_tokens": 50,
|
| 721 |
+
"max_attempts": 1
|
| 722 |
+
},
|
| 723 |
+
"additional_details": {
|
| 724 |
+
"do_sample": "false",
|
| 725 |
+
"generation_config_hash": "3c2453a08514"
|
| 726 |
+
}
|
| 727 |
+
}
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"evaluation_result_id": "truthfulqa::rouge2-diff",
|
| 731 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-diff",
|
| 732 |
+
"source_data": {
|
| 733 |
+
"dataset_name": "truthfulqa",
|
| 734 |
+
"source_type": "hf_dataset",
|
| 735 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 736 |
+
"hf_split": "train",
|
| 737 |
+
"samples_number": 790,
|
| 738 |
+
"additional_details": {
|
| 739 |
+
"benchmark_name": "truthfulqa",
|
| 740 |
+
"benchmark_version": "v1",
|
| 741 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 742 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 743 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 744 |
+
}
|
| 745 |
+
},
|
| 746 |
+
"metric_config": {
|
| 747 |
+
"evaluation_description": "Mean OpenEval score for rouge2_diff on truthfulqa.",
|
| 748 |
+
"metric_id": "openeval.truthfulqa.rouge2-diff",
|
| 749 |
+
"metric_name": "rouge2_diff",
|
| 750 |
+
"metric_kind": "benchmark_score",
|
| 751 |
+
"metric_unit": "points",
|
| 752 |
+
"lower_is_better": false,
|
| 753 |
+
"score_type": "continuous",
|
| 754 |
+
"min_score": -52.63157894736842,
|
| 755 |
+
"max_score": 19.354838709677416,
|
| 756 |
+
"additional_details": {
|
| 757 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 758 |
+
"aggregation": "mean",
|
| 759 |
+
"raw_metric_name": "rouge2_diff",
|
| 760 |
+
"response_count": "790",
|
| 761 |
+
"unique_sample_count": "790",
|
| 762 |
+
"score_values_are_binary": "false",
|
| 763 |
+
"bounds_source": "observed_values",
|
| 764 |
+
"metric_models_json": "[]",
|
| 765 |
+
"extra_artifact_types_json": "[]"
|
| 766 |
+
}
|
| 767 |
+
},
|
| 768 |
+
"score_details": {
|
| 769 |
+
"score": 8.80127894441466,
|
| 770 |
+
"details": {
|
| 771 |
+
"min_instance_score": "-52.63157894736842",
|
| 772 |
+
"max_instance_score": "19.354838709677416",
|
| 773 |
+
"response_count": "790",
|
| 774 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 775 |
+
},
|
| 776 |
+
"uncertainty": {
|
| 777 |
+
"standard_error": {
|
| 778 |
+
"value": 0.40090193406945124,
|
| 779 |
+
"method": "analytic"
|
| 780 |
+
},
|
| 781 |
+
"standard_deviation": 11.268126063596158,
|
| 782 |
+
"num_samples": 790
|
| 783 |
+
}
|
| 784 |
+
},
|
| 785 |
+
"generation_config": {
|
| 786 |
+
"generation_args": {
|
| 787 |
+
"temperature": 0.0,
|
| 788 |
+
"top_p": 1.0,
|
| 789 |
+
"max_tokens": 50,
|
| 790 |
+
"max_attempts": 1
|
| 791 |
+
},
|
| 792 |
+
"additional_details": {
|
| 793 |
+
"do_sample": "false",
|
| 794 |
+
"generation_config_hash": "3c2453a08514"
|
| 795 |
+
}
|
| 796 |
+
}
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"evaluation_result_id": "truthfulqa::rouge2-max",
|
| 800 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-max",
|
| 801 |
+
"source_data": {
|
| 802 |
+
"dataset_name": "truthfulqa",
|
| 803 |
+
"source_type": "hf_dataset",
|
| 804 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 805 |
+
"hf_split": "train",
|
| 806 |
+
"samples_number": 790,
|
| 807 |
+
"additional_details": {
|
| 808 |
+
"benchmark_name": "truthfulqa",
|
| 809 |
+
"benchmark_version": "v1",
|
| 810 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 811 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 812 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 813 |
+
}
|
| 814 |
+
},
|
| 815 |
+
"metric_config": {
|
| 816 |
+
"evaluation_description": "Mean OpenEval score for rouge2_max on truthfulqa.",
|
| 817 |
+
"metric_id": "openeval.truthfulqa.rouge2-max",
|
| 818 |
+
"metric_name": "rouge2_max",
|
| 819 |
+
"metric_kind": "benchmark_score",
|
| 820 |
+
"metric_unit": "points",
|
| 821 |
+
"lower_is_better": false,
|
| 822 |
+
"score_type": "continuous",
|
| 823 |
+
"min_score": 0.0,
|
| 824 |
+
"max_score": 73.46938775510205,
|
| 825 |
+
"additional_details": {
|
| 826 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 827 |
+
"aggregation": "mean",
|
| 828 |
+
"raw_metric_name": "rouge2_max",
|
| 829 |
+
"response_count": "790",
|
| 830 |
+
"unique_sample_count": "790",
|
| 831 |
+
"score_values_are_binary": "false",
|
| 832 |
+
"bounds_source": "observed_values",
|
| 833 |
+
"metric_models_json": "[]",
|
| 834 |
+
"extra_artifact_types_json": "[]"
|
| 835 |
+
}
|
| 836 |
+
},
|
| 837 |
+
"score_details": {
|
| 838 |
+
"score": 11.93091851775526,
|
| 839 |
+
"details": {
|
| 840 |
+
"min_instance_score": "0.0",
|
| 841 |
+
"max_instance_score": "73.46938775510205",
|
| 842 |
+
"response_count": "790",
|
| 843 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 844 |
+
},
|
| 845 |
+
"uncertainty": {
|
| 846 |
+
"standard_error": {
|
| 847 |
+
"value": 0.3906696945739064,
|
| 848 |
+
"method": "analytic"
|
| 849 |
+
},
|
| 850 |
+
"standard_deviation": 10.980529135892803,
|
| 851 |
+
"num_samples": 790
|
| 852 |
+
}
|
| 853 |
+
},
|
| 854 |
+
"generation_config": {
|
| 855 |
+
"generation_args": {
|
| 856 |
+
"temperature": 0.0,
|
| 857 |
+
"top_p": 1.0,
|
| 858 |
+
"max_tokens": 50,
|
| 859 |
+
"max_attempts": 1
|
| 860 |
+
},
|
| 861 |
+
"additional_details": {
|
| 862 |
+
"do_sample": "false",
|
| 863 |
+
"generation_config_hash": "3c2453a08514"
|
| 864 |
+
}
|
| 865 |
+
}
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"evaluation_result_id": "truthfulqa::rougel-acc",
|
| 869 |
+
"evaluation_name": "openeval.truthfulqa.rougel-acc",
|
| 870 |
+
"source_data": {
|
| 871 |
+
"dataset_name": "truthfulqa",
|
| 872 |
+
"source_type": "hf_dataset",
|
| 873 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 874 |
+
"hf_split": "train",
|
| 875 |
+
"samples_number": 790,
|
| 876 |
+
"additional_details": {
|
| 877 |
+
"benchmark_name": "truthfulqa",
|
| 878 |
+
"benchmark_version": "v1",
|
| 879 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 880 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 881 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 882 |
+
}
|
| 883 |
+
},
|
| 884 |
+
"metric_config": {
|
| 885 |
+
"evaluation_description": "Mean OpenEval score for rougeL_acc on truthfulqa.",
|
| 886 |
+
"metric_id": "openeval.truthfulqa.rougel-acc",
|
| 887 |
+
"metric_name": "rougeL_acc",
|
| 888 |
+
"metric_kind": "benchmark_score",
|
| 889 |
+
"metric_unit": "proportion",
|
| 890 |
+
"lower_is_better": false,
|
| 891 |
+
"score_type": "continuous",
|
| 892 |
+
"min_score": 0.0,
|
| 893 |
+
"max_score": 1.0,
|
| 894 |
+
"additional_details": {
|
| 895 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 896 |
+
"aggregation": "mean",
|
| 897 |
+
"raw_metric_name": "rougeL_acc",
|
| 898 |
+
"response_count": "790",
|
| 899 |
+
"unique_sample_count": "790",
|
| 900 |
+
"score_values_are_binary": "true",
|
| 901 |
+
"bounds_source": "binary_values",
|
| 902 |
+
"metric_models_json": "[]",
|
| 903 |
+
"extra_artifact_types_json": "[]"
|
| 904 |
+
}
|
| 905 |
+
},
|
| 906 |
+
"score_details": {
|
| 907 |
+
"score": 0.6886075949367089,
|
| 908 |
+
"details": {
|
| 909 |
+
"min_instance_score": "0.0",
|
| 910 |
+
"max_instance_score": "1.0",
|
| 911 |
+
"response_count": "790",
|
| 912 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 913 |
+
},
|
| 914 |
+
"uncertainty": {
|
| 915 |
+
"standard_error": {
|
| 916 |
+
"value": 0.016485472927945864,
|
| 917 |
+
"method": "analytic"
|
| 918 |
+
},
|
| 919 |
+
"standard_deviation": 0.46335617612140273,
|
| 920 |
+
"num_samples": 790
|
| 921 |
+
}
|
| 922 |
+
},
|
| 923 |
+
"generation_config": {
|
| 924 |
+
"generation_args": {
|
| 925 |
+
"temperature": 0.0,
|
| 926 |
+
"top_p": 1.0,
|
| 927 |
+
"max_tokens": 50,
|
| 928 |
+
"max_attempts": 1
|
| 929 |
+
},
|
| 930 |
+
"additional_details": {
|
| 931 |
+
"do_sample": "false",
|
| 932 |
+
"generation_config_hash": "3c2453a08514"
|
| 933 |
+
}
|
| 934 |
+
}
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"evaluation_result_id": "truthfulqa::rougel-diff",
|
| 938 |
+
"evaluation_name": "openeval.truthfulqa.rougel-diff",
|
| 939 |
+
"source_data": {
|
| 940 |
+
"dataset_name": "truthfulqa",
|
| 941 |
+
"source_type": "hf_dataset",
|
| 942 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 943 |
+
"hf_split": "train",
|
| 944 |
+
"samples_number": 790,
|
| 945 |
+
"additional_details": {
|
| 946 |
+
"benchmark_name": "truthfulqa",
|
| 947 |
+
"benchmark_version": "v1",
|
| 948 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 949 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 950 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 951 |
+
}
|
| 952 |
+
},
|
| 953 |
+
"metric_config": {
|
| 954 |
+
"evaluation_description": "Mean OpenEval score for rougeL_diff on truthfulqa.",
|
| 955 |
+
"metric_id": "openeval.truthfulqa.rougel-diff",
|
| 956 |
+
"metric_name": "rougeL_diff",
|
| 957 |
+
"metric_kind": "benchmark_score",
|
| 958 |
+
"metric_unit": "points",
|
| 959 |
+
"lower_is_better": false,
|
| 960 |
+
"score_type": "continuous",
|
| 961 |
+
"min_score": -37.71760154738878,
|
| 962 |
+
"max_score": 24.24242424242424,
|
| 963 |
+
"additional_details": {
|
| 964 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 965 |
+
"aggregation": "mean",
|
| 966 |
+
"raw_metric_name": "rougeL_diff",
|
| 967 |
+
"response_count": "790",
|
| 968 |
+
"unique_sample_count": "790",
|
| 969 |
+
"score_values_are_binary": "false",
|
| 970 |
+
"bounds_source": "observed_values",
|
| 971 |
+
"metric_models_json": "[]",
|
| 972 |
+
"extra_artifact_types_json": "[]"
|
| 973 |
+
}
|
| 974 |
+
},
|
| 975 |
+
"score_details": {
|
| 976 |
+
"score": 7.005306860477115,
|
| 977 |
+
"details": {
|
| 978 |
+
"min_instance_score": "-37.71760154738878",
|
| 979 |
+
"max_instance_score": "24.24242424242424",
|
| 980 |
+
"response_count": "790",
|
| 981 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 982 |
+
},
|
| 983 |
+
"uncertainty": {
|
| 984 |
+
"standard_error": {
|
| 985 |
+
"value": 0.3570318899298567,
|
| 986 |
+
"method": "analytic"
|
| 987 |
+
},
|
| 988 |
+
"standard_deviation": 10.035073424606288,
|
| 989 |
+
"num_samples": 790
|
| 990 |
+
}
|
| 991 |
+
},
|
| 992 |
+
"generation_config": {
|
| 993 |
+
"generation_args": {
|
| 994 |
+
"temperature": 0.0,
|
| 995 |
+
"top_p": 1.0,
|
| 996 |
+
"max_tokens": 50,
|
| 997 |
+
"max_attempts": 1
|
| 998 |
+
},
|
| 999 |
+
"additional_details": {
|
| 1000 |
+
"do_sample": "false",
|
| 1001 |
+
"generation_config_hash": "3c2453a08514"
|
| 1002 |
+
}
|
| 1003 |
+
}
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"evaluation_result_id": "truthfulqa::rougel-max",
|
| 1007 |
+
"evaluation_name": "openeval.truthfulqa.rougel-max",
|
| 1008 |
+
"source_data": {
|
| 1009 |
+
"dataset_name": "truthfulqa",
|
| 1010 |
+
"source_type": "hf_dataset",
|
| 1011 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 1012 |
+
"hf_split": "train",
|
| 1013 |
+
"samples_number": 790,
|
| 1014 |
+
"additional_details": {
|
| 1015 |
+
"benchmark_name": "truthfulqa",
|
| 1016 |
+
"benchmark_version": "v1",
|
| 1017 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 1018 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 1019 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 1020 |
+
}
|
| 1021 |
+
},
|
| 1022 |
+
"metric_config": {
|
| 1023 |
+
"evaluation_description": "Mean OpenEval score for rougeL_max on truthfulqa.",
|
| 1024 |
+
"metric_id": "openeval.truthfulqa.rougel-max",
|
| 1025 |
+
"metric_name": "rougeL_max",
|
| 1026 |
+
"metric_kind": "benchmark_score",
|
| 1027 |
+
"metric_unit": "points",
|
| 1028 |
+
"lower_is_better": false,
|
| 1029 |
+
"score_type": "continuous",
|
| 1030 |
+
"min_score": 0.0,
|
| 1031 |
+
"max_score": 70.58823529411764,
|
| 1032 |
+
"additional_details": {
|
| 1033 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 1034 |
+
"aggregation": "mean",
|
| 1035 |
+
"raw_metric_name": "rougeL_max",
|
| 1036 |
+
"response_count": "790",
|
| 1037 |
+
"unique_sample_count": "790",
|
| 1038 |
+
"score_values_are_binary": "false",
|
| 1039 |
+
"bounds_source": "observed_values",
|
| 1040 |
+
"metric_models_json": "[]",
|
| 1041 |
+
"extra_artifact_types_json": "[]"
|
| 1042 |
+
}
|
| 1043 |
+
},
|
| 1044 |
+
"score_details": {
|
| 1045 |
+
"score": 18.002861952918828,
|
| 1046 |
+
"details": {
|
| 1047 |
+
"min_instance_score": "0.0",
|
| 1048 |
+
"max_instance_score": "70.58823529411764",
|
| 1049 |
+
"response_count": "790",
|
| 1050 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-13b-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-13b-hf_0\"]"
|
| 1051 |
+
},
|
| 1052 |
+
"uncertainty": {
|
| 1053 |
+
"standard_error": {
|
| 1054 |
+
"value": 0.3701306080605825,
|
| 1055 |
+
"method": "analytic"
|
| 1056 |
+
},
|
| 1057 |
+
"standard_deviation": 10.403238291436194,
|
| 1058 |
+
"num_samples": 790
|
| 1059 |
+
}
|
| 1060 |
+
},
|
| 1061 |
+
"generation_config": {
|
| 1062 |
+
"generation_args": {
|
| 1063 |
+
"temperature": 0.0,
|
| 1064 |
+
"top_p": 1.0,
|
| 1065 |
+
"max_tokens": 50,
|
| 1066 |
+
"max_attempts": 1
|
| 1067 |
+
},
|
| 1068 |
+
"additional_details": {
|
| 1069 |
+
"do_sample": "false",
|
| 1070 |
+
"generation_config_hash": "3c2453a08514"
|
| 1071 |
+
}
|
| 1072 |
+
}
|
| 1073 |
+
}
|
| 1074 |
+
]
|
| 1075 |
+
}
|
data/openeval/meta/llama-2-13b-hf/93eb7779-9951-4d4c-a287-f7bc0d916563.json
ADDED
|
@@ -0,0 +1,176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-13b-hf/83a9c970d4f2/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-13b-hf",
|
| 31 |
+
"id": "meta/Llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "salad-bench::attack-success",
|
| 41 |
+
"evaluation_name": "openeval.salad-bench.attack-success",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "salad-bench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 27,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "salad-bench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.findings-acl.235/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/OpenSafetyLab/Salad-Data",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/OpenSafetyLab/Salad-Data\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for attack_success on salad-bench.",
|
| 57 |
+
"metric_id": "openeval.salad-bench.attack-success",
|
| 58 |
+
"metric_name": "attack_success",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"jailbreak\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "attack_success",
|
| 69 |
+
"response_count": "27",
|
| 70 |
+
"unique_sample_count": "27",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[\"reject_stems\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.7407407407407407,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "27",
|
| 83 |
+
"example_response_ids_json": "[\"salad-bench_20260309T230515Z_0_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_1_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_2_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_3_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_4_llama-2-13b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0859436075726402,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.44657608470472243,
|
| 91 |
+
"num_samples": 27
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 512,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "true",
|
| 103 |
+
"generation_config_hash": "83a9c970d4f2"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"evaluation_result_id": "salad-bench::exact-match",
|
| 109 |
+
"evaluation_name": "openeval.salad-bench.exact-match",
|
| 110 |
+
"source_data": {
|
| 111 |
+
"dataset_name": "salad-bench",
|
| 112 |
+
"source_type": "hf_dataset",
|
| 113 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 114 |
+
"hf_split": "train",
|
| 115 |
+
"samples_number": 3832,
|
| 116 |
+
"additional_details": {
|
| 117 |
+
"benchmark_name": "salad-bench",
|
| 118 |
+
"paper_url": "https://aclanthology.org/2024.findings-acl.235/",
|
| 119 |
+
"dataset_url": "https://huggingface.co/datasets/OpenSafetyLab/Salad-Data",
|
| 120 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/OpenSafetyLab/Salad-Data\"]"
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
"metric_config": {
|
| 124 |
+
"evaluation_description": "Mean OpenEval score for exact_match on salad-bench.",
|
| 125 |
+
"metric_id": "openeval.salad-bench.exact-match",
|
| 126 |
+
"metric_name": "exact_match",
|
| 127 |
+
"metric_kind": "benchmark_score",
|
| 128 |
+
"metric_unit": "proportion",
|
| 129 |
+
"lower_is_better": false,
|
| 130 |
+
"score_type": "continuous",
|
| 131 |
+
"min_score": 0.0,
|
| 132 |
+
"max_score": 1.0,
|
| 133 |
+
"additional_details": {
|
| 134 |
+
"benchmark_tags_json": "[\"safety\",\"jailbreak\"]",
|
| 135 |
+
"aggregation": "mean",
|
| 136 |
+
"raw_metric_name": "exact_match",
|
| 137 |
+
"response_count": "3832",
|
| 138 |
+
"unique_sample_count": "3832",
|
| 139 |
+
"score_values_are_binary": "true",
|
| 140 |
+
"bounds_source": "binary_values",
|
| 141 |
+
"metric_models_json": "[]",
|
| 142 |
+
"extra_artifact_types_json": "[]"
|
| 143 |
+
}
|
| 144 |
+
},
|
| 145 |
+
"score_details": {
|
| 146 |
+
"score": 0.0,
|
| 147 |
+
"details": {
|
| 148 |
+
"min_instance_score": "0.0",
|
| 149 |
+
"max_instance_score": "0.0",
|
| 150 |
+
"response_count": "3832",
|
| 151 |
+
"example_response_ids_json": "[\"salad-bench_20260309T230515Z_5000_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_5001_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_5002_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_5003_llama-2-13b-hf_0\",\"salad-bench_20260309T230515Z_5004_llama-2-13b-hf_0\"]"
|
| 152 |
+
},
|
| 153 |
+
"uncertainty": {
|
| 154 |
+
"standard_error": {
|
| 155 |
+
"value": 0.0,
|
| 156 |
+
"method": "analytic"
|
| 157 |
+
},
|
| 158 |
+
"standard_deviation": 0.0,
|
| 159 |
+
"num_samples": 3832
|
| 160 |
+
}
|
| 161 |
+
},
|
| 162 |
+
"generation_config": {
|
| 163 |
+
"generation_args": {
|
| 164 |
+
"temperature": 1.0,
|
| 165 |
+
"top_p": 0.95,
|
| 166 |
+
"max_tokens": 512,
|
| 167 |
+
"max_attempts": 1
|
| 168 |
+
},
|
| 169 |
+
"additional_details": {
|
| 170 |
+
"do_sample": "true",
|
| 171 |
+
"generation_config_hash": "83a9c970d4f2"
|
| 172 |
+
}
|
| 173 |
+
}
|
| 174 |
+
}
|
| 175 |
+
]
|
| 176 |
+
}
|
data/openeval/meta/llama-2-13b-hf/bc73c28a-ad7a-45bb-b8df-ff4d2dc621b8.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b-hf/605632c182a4/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b-hf",
|
| 31 |
+
"id": "meta/llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.08295964125560538,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_llama-2-13b-hf_0\",\"gpqa_20260421T022756Z_1_llama-2-13b-hf_0\",\"gpqa_20260421T022756Z_2_llama-2-13b-hf_0\",\"gpqa_20260421T022756Z_3_llama-2-13b-hf_0\",\"gpqa_20260421T022756Z_4_llama-2-13b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.013075179263028463,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.2761309462756881,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "605632c182a4"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.043,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_llama-2-13b-hf_0\",\"mmlu-pro_20260421T014755Z_1570_llama-2-13b-hf_0\",\"mmlu-pro_20260421T014755Z_6943_llama-2-13b-hf_0\",\"mmlu-pro_20260421T014755Z_6058_llama-2-13b-hf_0\",\"mmlu-pro_20260421T014755Z_10267_llama-2-13b-hf_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.006418114379799739,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.20295859723646148,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 4096,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "605632c182a4"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/meta/llama-2-13b-hf/d449fe65-8669-4a81-8a61-066117a85b8d.json
ADDED
|
@@ -0,0 +1,316 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b-hf/1aeb65201d6c/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b-hf",
|
| 31 |
+
"id": "meta/llama-2-13b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b-hf",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "bbq::exact-match",
|
| 41 |
+
"evaluation_name": "openeval.bbq.exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "bbq",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 999,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "bbq",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for exact_match on bbq.",
|
| 57 |
+
"metric_id": "openeval.bbq.exact-match",
|
| 58 |
+
"metric_name": "exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "exact_match",
|
| 69 |
+
"response_count": "999",
|
| 70 |
+
"unique_sample_count": "999",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.6166166166166166,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "999",
|
| 83 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_23084_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_50349_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_44933_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_41828_llama-2-13b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.015390721664548556,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4864539433926388,
|
| 91 |
+
"num_samples": 999
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 1,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "bbq::prefix-exact-match",
|
| 110 |
+
"evaluation_name": "openeval.bbq.prefix-exact-match",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "bbq",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "bbq",
|
| 119 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on bbq.",
|
| 126 |
+
"metric_id": "openeval.bbq.prefix-exact-match",
|
| 127 |
+
"metric_name": "prefix_exact_match",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "prefix_exact_match",
|
| 138 |
+
"response_count": "999",
|
| 139 |
+
"unique_sample_count": "999",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.6166166166166166,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "999",
|
| 152 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_23084_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_50349_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_44933_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_41828_llama-2-13b-hf_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.015390721664548556,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.4864539433926388,
|
| 160 |
+
"num_samples": 999
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 1,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "bbq::quasi-exact-match",
|
| 179 |
+
"evaluation_name": "openeval.bbq.quasi-exact-match",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "bbq",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 999,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "bbq",
|
| 188 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on bbq.",
|
| 195 |
+
"metric_id": "openeval.bbq.quasi-exact-match",
|
| 196 |
+
"metric_name": "quasi_exact_match",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "proportion",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "quasi_exact_match",
|
| 207 |
+
"response_count": "999",
|
| 208 |
+
"unique_sample_count": "999",
|
| 209 |
+
"score_values_are_binary": "true",
|
| 210 |
+
"bounds_source": "binary_values",
|
| 211 |
+
"metric_models_json": "[]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.6166166166166166,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "999",
|
| 221 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_23084_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_50349_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_44933_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_41828_llama-2-13b-hf_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.015390721664548556,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4864539433926388,
|
| 229 |
+
"num_samples": 999
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 5.0,
|
| 237 |
+
"max_tokens": 1,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "bbq::quasi-prefix-exact-match",
|
| 248 |
+
"evaluation_name": "openeval.bbq.quasi-prefix-exact-match",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "bbq",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 999,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "bbq",
|
| 257 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on bbq.",
|
| 264 |
+
"metric_id": "openeval.bbq.quasi-prefix-exact-match",
|
| 265 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "proportion",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 276 |
+
"response_count": "999",
|
| 277 |
+
"unique_sample_count": "999",
|
| 278 |
+
"score_values_are_binary": "true",
|
| 279 |
+
"bounds_source": "binary_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.6166166166166166,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "999",
|
| 290 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_23084_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_50349_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_44933_llama-2-13b-hf_0\",\"bbq_20260331T215816Z_41828_llama-2-13b-hf_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.015390721664548556,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.4864539433926388,
|
| 298 |
+
"num_samples": 999
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 5.0,
|
| 306 |
+
"max_tokens": 1,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
}
|
| 315 |
+
]
|
| 316 |
+
}
|
data/openeval/meta/llama-2-13b/0ac4fb95-d588-4d54-9bf7-2f771ecf5a3b.json
ADDED
|
@@ -0,0 +1,316 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/1aeb65201d6c/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "bbq::exact-match",
|
| 41 |
+
"evaluation_name": "openeval.bbq.exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "bbq",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 999,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "bbq",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for exact_match on bbq.",
|
| 57 |
+
"metric_id": "openeval.bbq.exact-match",
|
| 58 |
+
"metric_name": "exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "exact_match",
|
| 69 |
+
"response_count": "999",
|
| 70 |
+
"unique_sample_count": "999",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.6166166166166166,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "999",
|
| 83 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b_0\",\"bbq_20260331T215816Z_23084_llama-2-13b_0\",\"bbq_20260331T215816Z_50349_llama-2-13b_0\",\"bbq_20260331T215816Z_44933_llama-2-13b_0\",\"bbq_20260331T215816Z_41828_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.015390721664548556,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4864539433926388,
|
| 91 |
+
"num_samples": 999
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 1,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "bbq::prefix-exact-match",
|
| 110 |
+
"evaluation_name": "openeval.bbq.prefix-exact-match",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "bbq",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "bbq",
|
| 119 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on bbq.",
|
| 126 |
+
"metric_id": "openeval.bbq.prefix-exact-match",
|
| 127 |
+
"metric_name": "prefix_exact_match",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "prefix_exact_match",
|
| 138 |
+
"response_count": "999",
|
| 139 |
+
"unique_sample_count": "999",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.6166166166166166,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "999",
|
| 152 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b_0\",\"bbq_20260331T215816Z_23084_llama-2-13b_0\",\"bbq_20260331T215816Z_50349_llama-2-13b_0\",\"bbq_20260331T215816Z_44933_llama-2-13b_0\",\"bbq_20260331T215816Z_41828_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.015390721664548556,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.4864539433926388,
|
| 160 |
+
"num_samples": 999
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 1,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "bbq::quasi-exact-match",
|
| 179 |
+
"evaluation_name": "openeval.bbq.quasi-exact-match",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "bbq",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 999,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "bbq",
|
| 188 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on bbq.",
|
| 195 |
+
"metric_id": "openeval.bbq.quasi-exact-match",
|
| 196 |
+
"metric_name": "quasi_exact_match",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "proportion",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "quasi_exact_match",
|
| 207 |
+
"response_count": "999",
|
| 208 |
+
"unique_sample_count": "999",
|
| 209 |
+
"score_values_are_binary": "true",
|
| 210 |
+
"bounds_source": "binary_values",
|
| 211 |
+
"metric_models_json": "[]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.6166166166166166,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "999",
|
| 221 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b_0\",\"bbq_20260331T215816Z_23084_llama-2-13b_0\",\"bbq_20260331T215816Z_50349_llama-2-13b_0\",\"bbq_20260331T215816Z_44933_llama-2-13b_0\",\"bbq_20260331T215816Z_41828_llama-2-13b_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.015390721664548556,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4864539433926388,
|
| 229 |
+
"num_samples": 999
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 5.0,
|
| 237 |
+
"max_tokens": 1,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "bbq::quasi-prefix-exact-match",
|
| 248 |
+
"evaluation_name": "openeval.bbq.quasi-prefix-exact-match",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "bbq",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 999,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "bbq",
|
| 257 |
+
"paper_url": "https://aclanthology.org/2022.findings-acl.165/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/heegyu/bbq",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/heegyu/bbq\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on bbq.",
|
| 264 |
+
"metric_id": "openeval.bbq.quasi-prefix-exact-match",
|
| 265 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "proportion",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 276 |
+
"response_count": "999",
|
| 277 |
+
"unique_sample_count": "999",
|
| 278 |
+
"score_values_are_binary": "true",
|
| 279 |
+
"bounds_source": "binary_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.6166166166166166,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "999",
|
| 290 |
+
"example_response_ids_json": "[\"bbq_20260331T215816Z_33368_llama-2-13b_0\",\"bbq_20260331T215816Z_23084_llama-2-13b_0\",\"bbq_20260331T215816Z_50349_llama-2-13b_0\",\"bbq_20260331T215816Z_44933_llama-2-13b_0\",\"bbq_20260331T215816Z_41828_llama-2-13b_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.015390721664548556,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.4864539433926388,
|
| 298 |
+
"num_samples": 999
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 5.0,
|
| 306 |
+
"max_tokens": 1,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "1aeb65201d6c"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
}
|
| 315 |
+
]
|
| 316 |
+
}
|
data/openeval/meta/llama-2-13b/35a2deef-030c-494a-b6bd-e87435e6dcee.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/08180c349813/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "bold::logprob",
|
| 41 |
+
"evaluation_name": "openeval.bold.logprob",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "bold",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 994,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "bold",
|
| 50 |
+
"paper_url": "https://dl.acm.org/doi/10.1145/3442188.3445924",
|
| 51 |
+
"dataset_url": "https://github.com/amazon-science/bold",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://github.com/amazon-science/bold\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for logprob on bold.",
|
| 57 |
+
"metric_id": "openeval.bold.logprob",
|
| 58 |
+
"metric_name": "logprob",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": -60.92127367854118,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"bias\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "logprob",
|
| 69 |
+
"response_count": "994",
|
| 70 |
+
"unique_sample_count": "994",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": -24.538862114956565,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "-60.92127367854118",
|
| 81 |
+
"max_instance_score": "-1.5787465575258466",
|
| 82 |
+
"response_count": "994",
|
| 83 |
+
"example_response_ids_json": "[\"bold_20260304T231247Z_0_llama-2-13b_0\",\"bold_20260304T231247Z_1_llama-2-13b_0\",\"bold_20260304T231247Z_2_llama-2-13b_0\",\"bold_20260304T231247Z_3_llama-2-13b_0\",\"bold_20260304T231247Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.2996088648899024,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 9.445998046214708,
|
| 91 |
+
"num_samples": 994
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.9,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 20,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "08180c349813"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-2-13b/581be394-c36f-474a-b09e-40e8e6621709.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/b73f2fac07cc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "boolq::exact-match",
|
| 41 |
+
"evaluation_name": "openeval.boolq.exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "boolq",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 64,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "boolq",
|
| 50 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for exact_match on boolq.",
|
| 57 |
+
"metric_id": "openeval.boolq.exact-match",
|
| 58 |
+
"metric_name": "exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "exact_match",
|
| 69 |
+
"response_count": "64",
|
| 70 |
+
"unique_sample_count": "64",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.8125,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "64",
|
| 83 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-2-13b_0\",\"boolq_20260304T232244Z_1_llama-2-13b_0\",\"boolq_20260304T232244Z_2_llama-2-13b_0\",\"boolq_20260304T232244Z_3_llama-2-13b_0\",\"boolq_20260304T232244Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0491747370293402,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3933978962347216,
|
| 91 |
+
"num_samples": 64
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 5,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "boolq::prefix-exact-match",
|
| 110 |
+
"evaluation_name": "openeval.boolq.prefix-exact-match",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "boolq",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 64,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "boolq",
|
| 119 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on boolq.",
|
| 126 |
+
"metric_id": "openeval.boolq.prefix-exact-match",
|
| 127 |
+
"metric_name": "prefix_exact_match",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "prefix_exact_match",
|
| 138 |
+
"response_count": "64",
|
| 139 |
+
"unique_sample_count": "64",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.8125,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "64",
|
| 152 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-2-13b_0\",\"boolq_20260304T232244Z_1_llama-2-13b_0\",\"boolq_20260304T232244Z_2_llama-2-13b_0\",\"boolq_20260304T232244Z_3_llama-2-13b_0\",\"boolq_20260304T232244Z_4_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.0491747370293402,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.3933978962347216,
|
| 160 |
+
"num_samples": 64
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 5,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "boolq::quasi-exact-match",
|
| 179 |
+
"evaluation_name": "openeval.boolq.quasi-exact-match",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "boolq",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 64,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "boolq",
|
| 188 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on boolq.",
|
| 195 |
+
"metric_id": "openeval.boolq.quasi-exact-match",
|
| 196 |
+
"metric_name": "quasi_exact_match",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "proportion",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "quasi_exact_match",
|
| 207 |
+
"response_count": "64",
|
| 208 |
+
"unique_sample_count": "64",
|
| 209 |
+
"score_values_are_binary": "true",
|
| 210 |
+
"bounds_source": "binary_values",
|
| 211 |
+
"metric_models_json": "[]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.8125,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "64",
|
| 221 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-2-13b_0\",\"boolq_20260304T232244Z_1_llama-2-13b_0\",\"boolq_20260304T232244Z_2_llama-2-13b_0\",\"boolq_20260304T232244Z_3_llama-2-13b_0\",\"boolq_20260304T232244Z_4_llama-2-13b_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.0491747370293402,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.3933978962347216,
|
| 229 |
+
"num_samples": 64
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 5,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "boolq::quasi-prefix-exact-match",
|
| 248 |
+
"evaluation_name": "openeval.boolq.quasi-prefix-exact-match",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "boolq",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 64,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "boolq",
|
| 257 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on boolq.",
|
| 264 |
+
"metric_id": "openeval.boolq.quasi-prefix-exact-match",
|
| 265 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "proportion",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 276 |
+
"response_count": "64",
|
| 277 |
+
"unique_sample_count": "64",
|
| 278 |
+
"score_values_are_binary": "true",
|
| 279 |
+
"bounds_source": "binary_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.8125,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "64",
|
| 290 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-2-13b_0\",\"boolq_20260304T232244Z_1_llama-2-13b_0\",\"boolq_20260304T232244Z_2_llama-2-13b_0\",\"boolq_20260304T232244Z_3_llama-2-13b_0\",\"boolq_20260304T232244Z_4_llama-2-13b_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.0491747370293402,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.3933978962347216,
|
| 298 |
+
"num_samples": 64
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 5,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "imdb::exact-match",
|
| 317 |
+
"evaluation_name": "openeval.imdb.exact-match",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "imdb",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 352,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "imdb",
|
| 326 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 327 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for exact_match on imdb.",
|
| 333 |
+
"metric_id": "openeval.imdb.exact-match",
|
| 334 |
+
"metric_name": "exact_match",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "exact_match",
|
| 345 |
+
"response_count": "352",
|
| 346 |
+
"unique_sample_count": "352",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[]",
|
| 350 |
+
"extra_artifact_types_json": "[]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.9517045454545454,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "352",
|
| 359 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-2-13b_0\",\"imdb_20260305T000052Z_1_llama-2-13b_0\",\"imdb_20260305T000052Z_2_llama-2-13b_0\",\"imdb_20260305T000052Z_3_llama-2-13b_0\",\"imdb_20260305T000052Z_4_llama-2-13b_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.011443283106253406,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.21469502170276875,
|
| 367 |
+
"num_samples": 352
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 5,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "imdb::prefix-exact-match",
|
| 386 |
+
"evaluation_name": "openeval.imdb.prefix-exact-match",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "imdb",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 352,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "imdb",
|
| 395 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 396 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on imdb.",
|
| 402 |
+
"metric_id": "openeval.imdb.prefix-exact-match",
|
| 403 |
+
"metric_name": "prefix_exact_match",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "proportion",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "prefix_exact_match",
|
| 414 |
+
"response_count": "352",
|
| 415 |
+
"unique_sample_count": "352",
|
| 416 |
+
"score_values_are_binary": "true",
|
| 417 |
+
"bounds_source": "binary_values",
|
| 418 |
+
"metric_models_json": "[]",
|
| 419 |
+
"extra_artifact_types_json": "[]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.9517045454545454,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "352",
|
| 428 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-2-13b_0\",\"imdb_20260305T000052Z_1_llama-2-13b_0\",\"imdb_20260305T000052Z_2_llama-2-13b_0\",\"imdb_20260305T000052Z_3_llama-2-13b_0\",\"imdb_20260305T000052Z_4_llama-2-13b_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.011443283106253406,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.21469502170276875,
|
| 436 |
+
"num_samples": 352
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 5,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "imdb::quasi-exact-match",
|
| 455 |
+
"evaluation_name": "openeval.imdb.quasi-exact-match",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "imdb",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 352,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "imdb",
|
| 464 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 465 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on imdb.",
|
| 471 |
+
"metric_id": "openeval.imdb.quasi-exact-match",
|
| 472 |
+
"metric_name": "quasi_exact_match",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "proportion",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "quasi_exact_match",
|
| 483 |
+
"response_count": "352",
|
| 484 |
+
"unique_sample_count": "352",
|
| 485 |
+
"score_values_are_binary": "true",
|
| 486 |
+
"bounds_source": "binary_values",
|
| 487 |
+
"metric_models_json": "[]",
|
| 488 |
+
"extra_artifact_types_json": "[]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9517045454545454,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "352",
|
| 497 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-2-13b_0\",\"imdb_20260305T000052Z_1_llama-2-13b_0\",\"imdb_20260305T000052Z_2_llama-2-13b_0\",\"imdb_20260305T000052Z_3_llama-2-13b_0\",\"imdb_20260305T000052Z_4_llama-2-13b_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.011443283106253406,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.21469502170276875,
|
| 505 |
+
"num_samples": 352
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 5,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "imdb::quasi-prefix-exact-match",
|
| 524 |
+
"evaluation_name": "openeval.imdb.quasi-prefix-exact-match",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "imdb",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 352,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "imdb",
|
| 533 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 534 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on imdb.",
|
| 540 |
+
"metric_id": "openeval.imdb.quasi-prefix-exact-match",
|
| 541 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "proportion",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 552 |
+
"response_count": "352",
|
| 553 |
+
"unique_sample_count": "352",
|
| 554 |
+
"score_values_are_binary": "true",
|
| 555 |
+
"bounds_source": "binary_values",
|
| 556 |
+
"metric_models_json": "[]",
|
| 557 |
+
"extra_artifact_types_json": "[]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9517045454545454,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "352",
|
| 566 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-2-13b_0\",\"imdb_20260305T000052Z_1_llama-2-13b_0\",\"imdb_20260305T000052Z_2_llama-2-13b_0\",\"imdb_20260305T000052Z_3_llama-2-13b_0\",\"imdb_20260305T000052Z_4_llama-2-13b_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.011443283106253406,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.21469502170276875,
|
| 574 |
+
"num_samples": 352
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 5,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/meta/llama-2-13b/95de31c0-663e-4bcc-9365-9648d016610e.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/09b5bf3f630b/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "disinformation::monte-carlo-entropy",
|
| 41 |
+
"evaluation_name": "openeval.disinformation.monte-carlo-entropy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "disinformation",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 68,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "disinformation",
|
| 50 |
+
"paper_url": "https://cset.georgetown.edu/publication/truth-lies-and-automation/",
|
| 51 |
+
"dataset_url": "https://github.com/georgetown-cset/GPT3-Disinformation",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://github.com/georgetown-cset/GPT3-Disinformation\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for monte_carlo_entropy on disinformation.",
|
| 57 |
+
"metric_id": "openeval.disinformation.monte-carlo-entropy",
|
| 58 |
+
"metric_name": "monte_carlo_entropy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 35.841209051828834,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"disinformation\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "monte_carlo_entropy",
|
| 69 |
+
"response_count": "68",
|
| 70 |
+
"unique_sample_count": "68",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 21.2259734358193,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "11.873188470548758",
|
| 81 |
+
"max_instance_score": "35.841209051828834",
|
| 82 |
+
"response_count": "68",
|
| 83 |
+
"example_response_ids_json": "[\"disinformation_20260304T235127Z_0_llama-2-13b_0\",\"disinformation_20260304T235127Z_1_llama-2-13b_0\",\"disinformation_20260304T235127Z_2_llama-2-13b_0\",\"disinformation_20260304T235127Z_3_llama-2-13b_0\",\"disinformation_20260304T235127Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.5716786501385666,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 4.714182916863669,
|
| 91 |
+
"num_samples": 68
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.7,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 100,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "09b5bf3f630b"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "disinformation::self-bleu",
|
| 110 |
+
"evaluation_name": "openeval.disinformation.self-bleu",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "disinformation",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 68,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "disinformation",
|
| 119 |
+
"paper_url": "https://cset.georgetown.edu/publication/truth-lies-and-automation/",
|
| 120 |
+
"dataset_url": "https://github.com/georgetown-cset/GPT3-Disinformation",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://github.com/georgetown-cset/GPT3-Disinformation\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for self_bleu on disinformation.",
|
| 126 |
+
"metric_id": "openeval.disinformation.self-bleu",
|
| 127 |
+
"metric_name": "self_bleu",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "points",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 36.7818732293229,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"safety\",\"disinformation\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "self_bleu",
|
| 138 |
+
"response_count": "68",
|
| 139 |
+
"unique_sample_count": "68",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "observed_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 9.724443581309556,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "2.899053153430623",
|
| 150 |
+
"max_instance_score": "36.7818732293229",
|
| 151 |
+
"response_count": "68",
|
| 152 |
+
"example_response_ids_json": "[\"disinformation_20260304T235127Z_0_llama-2-13b_0\",\"disinformation_20260304T235127Z_1_llama-2-13b_0\",\"disinformation_20260304T235127Z_2_llama-2-13b_0\",\"disinformation_20260304T235127Z_3_llama-2-13b_0\",\"disinformation_20260304T235127Z_4_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.7026596642529521,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 5.794280029151927,
|
| 160 |
+
"num_samples": 68
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.7,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 100,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "09b5bf3f630b"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/meta/llama-2-13b/99beade6-0416-4e6b-b4c4-7a55165b2172.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/e1f5482e1f25/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "disinformation::monte-carlo-entropy",
|
| 41 |
+
"evaluation_name": "openeval.disinformation.monte-carlo-entropy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "disinformation",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 11,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "disinformation",
|
| 50 |
+
"paper_url": "https://cset.georgetown.edu/publication/truth-lies-and-automation/",
|
| 51 |
+
"dataset_url": "https://github.com/georgetown-cset/GPT3-Disinformation",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://github.com/georgetown-cset/GPT3-Disinformation\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for monte_carlo_entropy on disinformation.",
|
| 57 |
+
"metric_id": "openeval.disinformation.monte-carlo-entropy",
|
| 58 |
+
"metric_name": "monte_carlo_entropy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 82.9164827296759,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"disinformation\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "monte_carlo_entropy",
|
| 69 |
+
"response_count": "11",
|
| 70 |
+
"unique_sample_count": "11",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 59.395423107983746,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "34.32123284852452",
|
| 81 |
+
"max_instance_score": "82.9164827296759",
|
| 82 |
+
"response_count": "11",
|
| 83 |
+
"example_response_ids_json": "[\"disinformation_20260304T233144Z_0_llama-2-13b_0\",\"disinformation_20260304T233144Z_1_llama-2-13b_0\",\"disinformation_20260304T233144Z_2_llama-2-13b_0\",\"disinformation_20260304T233144Z_3_llama-2-13b_0\",\"disinformation_20260304T233144Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 4.300738039965122,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 14.263934400172815,
|
| 91 |
+
"num_samples": 11
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.7,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 90,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "e1f5482e1f25"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "disinformation::self-bleu",
|
| 110 |
+
"evaluation_name": "openeval.disinformation.self-bleu",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "disinformation",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 11,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "disinformation",
|
| 119 |
+
"paper_url": "https://cset.georgetown.edu/publication/truth-lies-and-automation/",
|
| 120 |
+
"dataset_url": "https://github.com/georgetown-cset/GPT3-Disinformation",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://github.com/georgetown-cset/GPT3-Disinformation\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for self_bleu on disinformation.",
|
| 126 |
+
"metric_id": "openeval.disinformation.self-bleu",
|
| 127 |
+
"metric_name": "self_bleu",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "points",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 51.975066401812015,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"safety\",\"disinformation\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "self_bleu",
|
| 138 |
+
"response_count": "11",
|
| 139 |
+
"unique_sample_count": "11",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "observed_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 15.15804300699336,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "4.576454212155297",
|
| 150 |
+
"max_instance_score": "51.975066401812015",
|
| 151 |
+
"response_count": "11",
|
| 152 |
+
"example_response_ids_json": "[\"disinformation_20260304T233144Z_0_llama-2-13b_0\",\"disinformation_20260304T233144Z_1_llama-2-13b_0\",\"disinformation_20260304T233144Z_2_llama-2-13b_0\",\"disinformation_20260304T233144Z_3_llama-2-13b_0\",\"disinformation_20260304T233144Z_4_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 4.489679054013131,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 14.89058085127933,
|
| 160 |
+
"num_samples": 11
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.7,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 90,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "e1f5482e1f25"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/meta/llama-2-13b/e591f70f-32ab-48a6-ae37-128173e04f88.json
ADDED
|
@@ -0,0 +1,523 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/9f6885c492e1/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "xsum::bertscore-f",
|
| 41 |
+
"evaluation_name": "openeval.xsum.bertscore-f",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "xsum",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 1000,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "xsum",
|
| 50 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-F on xsum.",
|
| 57 |
+
"metric_id": "openeval.xsum.bertscore-f",
|
| 58 |
+
"metric_name": "BERTScore-F",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": -0.8239193558692932,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "BERTScore-F",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "1000",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.44806521711079406,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "-0.8239193558692932",
|
| 81 |
+
"max_instance_score": "0.926089882850647",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.006257953889289209,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.1978938778246309,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.3,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 64,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "9f6885c492e1"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "xsum::bertscore-p",
|
| 110 |
+
"evaluation_name": "openeval.xsum.bertscore-p",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "xsum",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 1000,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "xsum",
|
| 119 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-P on xsum.",
|
| 126 |
+
"metric_id": "openeval.xsum.bertscore-p",
|
| 127 |
+
"metric_name": "BERTScore-P",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "points",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": -0.8301020860671997,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "BERTScore-P",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "1000",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "observed_values",
|
| 142 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.4807112120399252,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "-0.8301020860671997",
|
| 150 |
+
"max_instance_score": "0.9670856595039368",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.006559314708945375,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.20742374370111813,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.3,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 64,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "9f6885c492e1"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "xsum::bertscore-r",
|
| 179 |
+
"evaluation_name": "openeval.xsum.bertscore-r",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "xsum",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 1000,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "xsum",
|
| 188 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-R on xsum.",
|
| 195 |
+
"metric_id": "openeval.xsum.bertscore-r",
|
| 196 |
+
"metric_name": "BERTScore-R",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "points",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": -0.8302450776100159,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "BERTScore-R",
|
| 207 |
+
"response_count": "1000",
|
| 208 |
+
"unique_sample_count": "1000",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "observed_values",
|
| 211 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.4174698239645222,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "-0.8302450776100159",
|
| 219 |
+
"max_instance_score": "0.9270539283752441",
|
| 220 |
+
"response_count": "1000",
|
| 221 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.006392580576602416,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.20215114748216118,
|
| 229 |
+
"num_samples": 1000
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.3,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 64,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "true",
|
| 242 |
+
"generation_config_hash": "9f6885c492e1"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "xsum::rouge-1",
|
| 248 |
+
"evaluation_name": "openeval.xsum.rouge-1",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "xsum",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 1000,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "xsum",
|
| 257 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for rouge_1 on xsum.",
|
| 264 |
+
"metric_id": "openeval.xsum.rouge-1",
|
| 265 |
+
"metric_name": "rouge_1",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "rouge_1",
|
| 276 |
+
"response_count": "1000",
|
| 277 |
+
"unique_sample_count": "1000",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.37783507332859967,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "0.923076923076923",
|
| 289 |
+
"response_count": "1000",
|
| 290 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.005232836519683744,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.16547682025509156,
|
| 298 |
+
"num_samples": 1000
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.3,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 64,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "true",
|
| 311 |
+
"generation_config_hash": "9f6885c492e1"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "xsum::rouge-2",
|
| 317 |
+
"evaluation_name": "openeval.xsum.rouge-2",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "xsum",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 1000,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "xsum",
|
| 326 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for rouge_2 on xsum.",
|
| 333 |
+
"metric_id": "openeval.xsum.rouge-2",
|
| 334 |
+
"metric_name": "rouge_2",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "score",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "rouge_2",
|
| 345 |
+
"response_count": "1000",
|
| 346 |
+
"unique_sample_count": "1000",
|
| 347 |
+
"score_values_are_binary": "false",
|
| 348 |
+
"bounds_source": "normalized_observed_values",
|
| 349 |
+
"metric_models_json": "[]",
|
| 350 |
+
"extra_artifact_types_json": "[]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.1590472404020006,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "0.8125",
|
| 358 |
+
"response_count": "1000",
|
| 359 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.004564631568835844,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.14434632437028933,
|
| 367 |
+
"num_samples": 1000
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.3,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 64,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "true",
|
| 380 |
+
"generation_config_hash": "9f6885c492e1"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "xsum::rouge-l",
|
| 386 |
+
"evaluation_name": "openeval.xsum.rouge-l",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "xsum",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 1000,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "xsum",
|
| 395 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for rouge_l on xsum.",
|
| 402 |
+
"metric_id": "openeval.xsum.rouge-l",
|
| 403 |
+
"metric_name": "rouge_l",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "rouge_l",
|
| 414 |
+
"response_count": "1000",
|
| 415 |
+
"unique_sample_count": "1000",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[]",
|
| 419 |
+
"extra_artifact_types_json": "[]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.3042642034601129,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "0.8648648648648649",
|
| 427 |
+
"response_count": "1000",
|
| 428 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.004986685705131459,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.15769284803618214,
|
| 436 |
+
"num_samples": 1000
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.3,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 64,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "true",
|
| 449 |
+
"generation_config_hash": "9f6885c492e1"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xsum::summac",
|
| 455 |
+
"evaluation_name": "openeval.xsum.summac",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xsum",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 1000,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xsum",
|
| 464 |
+
"paper_url": "https://aclanthology.org/D18-1206/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/EdinburghNLP/xsum",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/EdinburghNLP/xsum\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for summac on xsum.",
|
| 471 |
+
"metric_id": "openeval.xsum.summac",
|
| 472 |
+
"metric_name": "summac",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "points",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": -0.9784221649169922,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "summac",
|
| 483 |
+
"response_count": "1000",
|
| 484 |
+
"unique_sample_count": "1000",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "observed_values",
|
| 487 |
+
"metric_models_json": "[\"vitc\"]",
|
| 488 |
+
"extra_artifact_types_json": "[]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": -0.2551711959838867,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "-0.9784221649169922",
|
| 495 |
+
"max_instance_score": "0.971954345703125",
|
| 496 |
+
"response_count": "1000",
|
| 497 |
+
"example_response_ids_json": "[\"xsum_20260306T061408Z_0_llama-2-13b_0\",\"xsum_20260306T061408Z_1_llama-2-13b_0\",\"xsum_20260306T061408Z_2_llama-2-13b_0\",\"xsum_20260306T061408Z_3_llama-2-13b_0\",\"xsum_20260306T061408Z_4_llama-2-13b_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.012727117444153844,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.4024667917198698,
|
| 505 |
+
"num_samples": 1000
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.3,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 64,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "true",
|
| 518 |
+
"generation_config_hash": "9f6885c492e1"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
}
|
| 522 |
+
]
|
| 523 |
+
}
|
data/openeval/meta/llama-2-13b/fc2de248-f118-444e-b0e7-d9fe7897ab6d.json
ADDED
|
@@ -0,0 +1,523 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-13b/9002d4b41ff2/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-13b",
|
| 31 |
+
"id": "meta/llama-2-13b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-13b",
|
| 35 |
+
"model_size": "13b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "cnndm::bertscore-f",
|
| 41 |
+
"evaluation_name": "openeval.cnndm.bertscore-f",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "cnndm",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 1000,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "cnndm",
|
| 50 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-F on cnndm.",
|
| 57 |
+
"metric_id": "openeval.cnndm.bertscore-f",
|
| 58 |
+
"metric_name": "BERTScore-F",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "points",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": -0.8239193558692932,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "BERTScore-F",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "1000",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "observed_values",
|
| 73 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.29370435448223725,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "-0.8239193558692932",
|
| 81 |
+
"max_instance_score": "0.7888302803039551",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.004461531753800846,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.14108602195176265,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.3,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 128,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "cnndm::bertscore-p",
|
| 110 |
+
"evaluation_name": "openeval.cnndm.bertscore-p",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "cnndm",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 1000,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "cnndm",
|
| 119 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-P on cnndm.",
|
| 126 |
+
"metric_id": "openeval.cnndm.bertscore-p",
|
| 127 |
+
"metric_name": "BERTScore-P",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "points",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": -0.8301020860671997,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "BERTScore-P",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "1000",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "observed_values",
|
| 142 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.3048183670572471,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "-0.8301020860671997",
|
| 150 |
+
"max_instance_score": "0.8855636715888977",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.004946160630109213,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.15641133264198717,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.3,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 128,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "cnndm::bertscore-r",
|
| 179 |
+
"evaluation_name": "openeval.cnndm.bertscore-r",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "cnndm",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 1000,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "cnndm",
|
| 188 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for BERTScore-R on cnndm.",
|
| 195 |
+
"metric_id": "openeval.cnndm.bertscore-r",
|
| 196 |
+
"metric_name": "BERTScore-R",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "points",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": -0.8302450776100159,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "BERTScore-R",
|
| 207 |
+
"response_count": "1000",
|
| 208 |
+
"unique_sample_count": "1000",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "observed_values",
|
| 211 |
+
"metric_models_json": "[\"microsoft/deberta-large-mnli\"]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.2855983672006987,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "-0.8302450776100159",
|
| 219 |
+
"max_instance_score": "0.767980694770813",
|
| 220 |
+
"response_count": "1000",
|
| 221 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.004956149385658672,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.15672720482725655,
|
| 229 |
+
"num_samples": 1000
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.3,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 128,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "true",
|
| 242 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "cnndm::rouge-1",
|
| 248 |
+
"evaluation_name": "openeval.cnndm.rouge-1",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "cnndm",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 1000,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "cnndm",
|
| 257 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for rouge_1 on cnndm.",
|
| 264 |
+
"metric_id": "openeval.cnndm.rouge-1",
|
| 265 |
+
"metric_name": "rouge_1",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "rouge_1",
|
| 276 |
+
"response_count": "1000",
|
| 277 |
+
"unique_sample_count": "1000",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.3760183534996394,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "0.8429752066115702",
|
| 289 |
+
"response_count": "1000",
|
| 290 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.0037820021311369776,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.11959740850003665,
|
| 298 |
+
"num_samples": 1000
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.3,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 128,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "true",
|
| 311 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "cnndm::rouge-2",
|
| 317 |
+
"evaluation_name": "openeval.cnndm.rouge-2",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "cnndm",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 1000,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "cnndm",
|
| 326 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for rouge_2 on cnndm.",
|
| 333 |
+
"metric_id": "openeval.cnndm.rouge-2",
|
| 334 |
+
"metric_name": "rouge_2",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "score",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "rouge_2",
|
| 345 |
+
"response_count": "1000",
|
| 346 |
+
"unique_sample_count": "1000",
|
| 347 |
+
"score_values_are_binary": "false",
|
| 348 |
+
"bounds_source": "normalized_observed_values",
|
| 349 |
+
"metric_models_json": "[]",
|
| 350 |
+
"extra_artifact_types_json": "[]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.15657447375765313,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "0.8035714285714285",
|
| 358 |
+
"response_count": "1000",
|
| 359 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.003549952827056543,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.11225936519652488,
|
| 367 |
+
"num_samples": 1000
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.3,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 128,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "true",
|
| 380 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "cnndm::rouge-l",
|
| 386 |
+
"evaluation_name": "openeval.cnndm.rouge-l",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "cnndm",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 1000,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "cnndm",
|
| 395 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for rouge_l on cnndm.",
|
| 402 |
+
"metric_id": "openeval.cnndm.rouge-l",
|
| 403 |
+
"metric_name": "rouge_l",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "rouge_l",
|
| 414 |
+
"response_count": "1000",
|
| 415 |
+
"unique_sample_count": "1000",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[]",
|
| 419 |
+
"extra_artifact_types_json": "[]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.25261540550820205,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "0.8264462809917354",
|
| 427 |
+
"response_count": "1000",
|
| 428 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.003265303950098791,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.10325797735056971,
|
| 436 |
+
"num_samples": 1000
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.3,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 128,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "true",
|
| 449 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "cnndm::summac",
|
| 455 |
+
"evaluation_name": "openeval.cnndm.summac",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "cnndm",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 1000,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "cnndm",
|
| 464 |
+
"paper_url": "https://aclanthology.org/P17-1099/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/abisee/cnn_dailymail",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/abisee/cnn_dailymail\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for summac on cnndm.",
|
| 471 |
+
"metric_id": "openeval.cnndm.summac",
|
| 472 |
+
"metric_name": "summac",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "points",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": -0.6972573598225912,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"summarization\",\"news\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "summac",
|
| 483 |
+
"response_count": "1000",
|
| 484 |
+
"unique_sample_count": "1000",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "observed_values",
|
| 487 |
+
"metric_models_json": "[\"vitc\"]",
|
| 488 |
+
"extra_artifact_types_json": "[]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.5838776740119571,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "-0.6972573598225912",
|
| 495 |
+
"max_instance_score": "0.9764226277669271",
|
| 496 |
+
"response_count": "1000",
|
| 497 |
+
"example_response_ids_json": "[\"cnndm_20260306T054105Z_0_llama-2-13b_0\",\"cnndm_20260306T054105Z_1_llama-2-13b_0\",\"cnndm_20260306T054105Z_2_llama-2-13b_0\",\"cnndm_20260306T054105Z_3_llama-2-13b_0\",\"cnndm_20260306T054105Z_4_llama-2-13b_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.00831050570519799,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.26280126536249465,
|
| 505 |
+
"num_samples": 1000
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.3,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 128,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "true",
|
| 518 |
+
"generation_config_hash": "9002d4b41ff2"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
}
|
| 522 |
+
]
|
| 523 |
+
}
|
data/openeval/meta/llama-2-70b-hf/82a3d87f-5a12-43b7-b0a6-b6d65044b049.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-70b-hf/9188da3bfb5d/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-70b-hf",
|
| 31 |
+
"id": "meta/llama-2-70b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-70b-hf",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[\"instruction_info\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.32101047443006775,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_llama-2-70b-hf_0\",\"ifeval_20260421T021146Z_1_llama-2-70b-hf_0\",\"ifeval_20260421T021146Z_2_llama-2-70b-hf_0\",\"ifeval_20260421T021146Z_3_llama-2-70b-hf_0\",\"ifeval_20260421T021146Z_4_llama-2-70b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01707706121279463,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.39720231197596817,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-2-70b-hf/c31e283d-ae72-4abc-a5ae-a5a95a53332e.json
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-2-70b-hf/605632c182a4/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-2-70b-hf",
|
| 31 |
+
"id": "meta/llama-2-70b-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-2-70b-hf",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.07174887892376682,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_llama-2-70b-hf_0\",\"gpqa_20260421T022756Z_1_llama-2-70b-hf_0\",\"gpqa_20260421T022756Z_2_llama-2-70b-hf_0\",\"gpqa_20260421T022756Z_3_llama-2-70b-hf_0\",\"gpqa_20260421T022756Z_4_llama-2-70b-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.012233769554852452,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.2583614569057674,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "605632c182a4"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 110 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "mmlu-pro",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 998,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "mmlu-pro",
|
| 119 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 126 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 127 |
+
"metric_name": "chain_of_thought_correctness",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "998",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.047,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_llama-2-70b-hf_0\",\"mmlu-pro_20260421T014755Z_1570_llama-2-70b-hf_0\",\"mmlu-pro_20260421T014755Z_6943_llama-2-70b-hf_0\",\"mmlu-pro_20260421T014755Z_6058_llama-2-70b-hf_0\",\"mmlu-pro_20260421T014755Z_10267_llama-2-70b-hf_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.006695956678163012,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.21174474216810163,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 1.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 5.0,
|
| 168 |
+
"max_tokens": 4096,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "true",
|
| 173 |
+
"generation_config_hash": "605632c182a4"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
]
|
| 178 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/046f635c-6566-4228-a1db-2bd546bb869b.json
ADDED
|
@@ -0,0 +1,1075 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/3c2453a08514/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "truthfulqa::bleu-acc",
|
| 41 |
+
"evaluation_name": "openeval.truthfulqa.bleu-acc",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "truthfulqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 790,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "truthfulqa",
|
| 50 |
+
"benchmark_version": "v1",
|
| 51 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 52 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 53 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"metric_config": {
|
| 57 |
+
"evaluation_description": "Mean OpenEval score for bleu_acc on truthfulqa.",
|
| 58 |
+
"metric_id": "openeval.truthfulqa.bleu-acc",
|
| 59 |
+
"metric_name": "bleu_acc",
|
| 60 |
+
"metric_kind": "benchmark_score",
|
| 61 |
+
"metric_unit": "proportion",
|
| 62 |
+
"lower_is_better": false,
|
| 63 |
+
"score_type": "continuous",
|
| 64 |
+
"min_score": 0.0,
|
| 65 |
+
"max_score": 1.0,
|
| 66 |
+
"additional_details": {
|
| 67 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 68 |
+
"aggregation": "mean",
|
| 69 |
+
"raw_metric_name": "bleu_acc",
|
| 70 |
+
"response_count": "790",
|
| 71 |
+
"unique_sample_count": "790",
|
| 72 |
+
"score_values_are_binary": "true",
|
| 73 |
+
"bounds_source": "binary_values",
|
| 74 |
+
"metric_models_json": "[]",
|
| 75 |
+
"extra_artifact_types_json": "[]"
|
| 76 |
+
}
|
| 77 |
+
},
|
| 78 |
+
"score_details": {
|
| 79 |
+
"score": 0.4050632911392405,
|
| 80 |
+
"details": {
|
| 81 |
+
"min_instance_score": "0.0",
|
| 82 |
+
"max_instance_score": "1.0",
|
| 83 |
+
"response_count": "790",
|
| 84 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 85 |
+
},
|
| 86 |
+
"uncertainty": {
|
| 87 |
+
"standard_error": {
|
| 88 |
+
"value": 0.01747665548913146,
|
| 89 |
+
"method": "analytic"
|
| 90 |
+
},
|
| 91 |
+
"standard_deviation": 0.49121528355474975,
|
| 92 |
+
"num_samples": 790
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"generation_config": {
|
| 96 |
+
"generation_args": {
|
| 97 |
+
"temperature": 0.0,
|
| 98 |
+
"top_p": 1.0,
|
| 99 |
+
"max_tokens": 50,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "3c2453a08514"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "truthfulqa::bleu-diff",
|
| 110 |
+
"evaluation_name": "openeval.truthfulqa.bleu-diff",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "truthfulqa",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 790,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "truthfulqa",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for bleu_diff on truthfulqa.",
|
| 127 |
+
"metric_id": "openeval.truthfulqa.bleu-diff",
|
| 128 |
+
"metric_name": "bleu_diff",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -68.75223704194289,
|
| 134 |
+
"max_score": 34.89557233438314,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "bleu_diff",
|
| 139 |
+
"response_count": "790",
|
| 140 |
+
"unique_sample_count": "790",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[]",
|
| 144 |
+
"extra_artifact_types_json": "[]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": -1.1250807165075605,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-68.75223704194289",
|
| 151 |
+
"max_instance_score": "34.89557233438314",
|
| 152 |
+
"response_count": "790",
|
| 153 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.2687829135374411,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 7.554664859650869,
|
| 161 |
+
"num_samples": 790
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"max_tokens": 50,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "3c2453a08514"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "truthfulqa::bleu-max",
|
| 179 |
+
"evaluation_name": "openeval.truthfulqa.bleu-max",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "truthfulqa",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 790,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "truthfulqa",
|
| 188 |
+
"benchmark_version": "v1",
|
| 189 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 190 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 191 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 192 |
+
}
|
| 193 |
+
},
|
| 194 |
+
"metric_config": {
|
| 195 |
+
"evaluation_description": "Mean OpenEval score for bleu_max on truthfulqa.",
|
| 196 |
+
"metric_id": "openeval.truthfulqa.bleu-max",
|
| 197 |
+
"metric_name": "bleu_max",
|
| 198 |
+
"metric_kind": "benchmark_score",
|
| 199 |
+
"metric_unit": "points",
|
| 200 |
+
"lower_is_better": false,
|
| 201 |
+
"score_type": "continuous",
|
| 202 |
+
"min_score": 0.0,
|
| 203 |
+
"max_score": 73.51460991014885,
|
| 204 |
+
"additional_details": {
|
| 205 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 206 |
+
"aggregation": "mean",
|
| 207 |
+
"raw_metric_name": "bleu_max",
|
| 208 |
+
"response_count": "790",
|
| 209 |
+
"unique_sample_count": "790",
|
| 210 |
+
"score_values_are_binary": "false",
|
| 211 |
+
"bounds_source": "observed_values",
|
| 212 |
+
"metric_models_json": "[]",
|
| 213 |
+
"extra_artifact_types_json": "[]"
|
| 214 |
+
}
|
| 215 |
+
},
|
| 216 |
+
"score_details": {
|
| 217 |
+
"score": 6.102119505901878,
|
| 218 |
+
"details": {
|
| 219 |
+
"min_instance_score": "0.0",
|
| 220 |
+
"max_instance_score": "73.51460991014885",
|
| 221 |
+
"response_count": "790",
|
| 222 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 223 |
+
},
|
| 224 |
+
"uncertainty": {
|
| 225 |
+
"standard_error": {
|
| 226 |
+
"value": 0.36629037103840767,
|
| 227 |
+
"method": "analytic"
|
| 228 |
+
},
|
| 229 |
+
"standard_deviation": 10.295300985071245,
|
| 230 |
+
"num_samples": 790
|
| 231 |
+
}
|
| 232 |
+
},
|
| 233 |
+
"generation_config": {
|
| 234 |
+
"generation_args": {
|
| 235 |
+
"temperature": 0.0,
|
| 236 |
+
"top_p": 1.0,
|
| 237 |
+
"max_tokens": 50,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "3c2453a08514"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "truthfulqa::bleurt-acc",
|
| 248 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-acc",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "truthfulqa",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 790,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "truthfulqa",
|
| 257 |
+
"benchmark_version": "v1",
|
| 258 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 259 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 260 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 261 |
+
}
|
| 262 |
+
},
|
| 263 |
+
"metric_config": {
|
| 264 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_acc on truthfulqa.",
|
| 265 |
+
"metric_id": "openeval.truthfulqa.bleurt-acc",
|
| 266 |
+
"metric_name": "BLEURT_acc",
|
| 267 |
+
"metric_kind": "benchmark_score",
|
| 268 |
+
"metric_unit": "proportion",
|
| 269 |
+
"lower_is_better": false,
|
| 270 |
+
"score_type": "continuous",
|
| 271 |
+
"min_score": 0.0,
|
| 272 |
+
"max_score": 1.0,
|
| 273 |
+
"additional_details": {
|
| 274 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 275 |
+
"aggregation": "mean",
|
| 276 |
+
"raw_metric_name": "BLEURT_acc",
|
| 277 |
+
"response_count": "790",
|
| 278 |
+
"unique_sample_count": "790",
|
| 279 |
+
"score_values_are_binary": "true",
|
| 280 |
+
"bounds_source": "binary_values",
|
| 281 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 282 |
+
"extra_artifact_types_json": "[]"
|
| 283 |
+
}
|
| 284 |
+
},
|
| 285 |
+
"score_details": {
|
| 286 |
+
"score": 0.5721518987341773,
|
| 287 |
+
"details": {
|
| 288 |
+
"min_instance_score": "0.0",
|
| 289 |
+
"max_instance_score": "1.0",
|
| 290 |
+
"response_count": "790",
|
| 291 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 292 |
+
},
|
| 293 |
+
"uncertainty": {
|
| 294 |
+
"standard_error": {
|
| 295 |
+
"value": 0.01761416152768167,
|
| 296 |
+
"method": "analytic"
|
| 297 |
+
},
|
| 298 |
+
"standard_deviation": 0.49508015734361266,
|
| 299 |
+
"num_samples": 790
|
| 300 |
+
}
|
| 301 |
+
},
|
| 302 |
+
"generation_config": {
|
| 303 |
+
"generation_args": {
|
| 304 |
+
"temperature": 0.0,
|
| 305 |
+
"top_p": 1.0,
|
| 306 |
+
"max_tokens": 50,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "3c2453a08514"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "truthfulqa::bleurt-diff",
|
| 317 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-diff",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "truthfulqa",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 790,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "truthfulqa",
|
| 326 |
+
"benchmark_version": "v1",
|
| 327 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 328 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 329 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 330 |
+
}
|
| 331 |
+
},
|
| 332 |
+
"metric_config": {
|
| 333 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_diff on truthfulqa.",
|
| 334 |
+
"metric_id": "openeval.truthfulqa.bleurt-diff",
|
| 335 |
+
"metric_name": "BLEURT_diff",
|
| 336 |
+
"metric_kind": "benchmark_score",
|
| 337 |
+
"metric_unit": "points",
|
| 338 |
+
"lower_is_better": false,
|
| 339 |
+
"score_type": "continuous",
|
| 340 |
+
"min_score": -1.983956158161164,
|
| 341 |
+
"max_score": 1.0228632092475891,
|
| 342 |
+
"additional_details": {
|
| 343 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 344 |
+
"aggregation": "mean",
|
| 345 |
+
"raw_metric_name": "BLEURT_diff",
|
| 346 |
+
"response_count": "790",
|
| 347 |
+
"unique_sample_count": "790",
|
| 348 |
+
"score_values_are_binary": "false",
|
| 349 |
+
"bounds_source": "observed_values",
|
| 350 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 351 |
+
"extra_artifact_types_json": "[]"
|
| 352 |
+
}
|
| 353 |
+
},
|
| 354 |
+
"score_details": {
|
| 355 |
+
"score": 0.0033526373767777265,
|
| 356 |
+
"details": {
|
| 357 |
+
"min_instance_score": "-1.983956158161164",
|
| 358 |
+
"max_instance_score": "1.0228632092475891",
|
| 359 |
+
"response_count": "790",
|
| 360 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 361 |
+
},
|
| 362 |
+
"uncertainty": {
|
| 363 |
+
"standard_error": {
|
| 364 |
+
"value": 0.009907596471873026,
|
| 365 |
+
"method": "analytic"
|
| 366 |
+
},
|
| 367 |
+
"standard_deviation": 0.2784722061554473,
|
| 368 |
+
"num_samples": 790
|
| 369 |
+
}
|
| 370 |
+
},
|
| 371 |
+
"generation_config": {
|
| 372 |
+
"generation_args": {
|
| 373 |
+
"temperature": 0.0,
|
| 374 |
+
"top_p": 1.0,
|
| 375 |
+
"max_tokens": 50,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "3c2453a08514"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "truthfulqa::bleurt-max",
|
| 386 |
+
"evaluation_name": "openeval.truthfulqa.bleurt-max",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "truthfulqa",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 790,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "truthfulqa",
|
| 395 |
+
"benchmark_version": "v1",
|
| 396 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 397 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 398 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 399 |
+
}
|
| 400 |
+
},
|
| 401 |
+
"metric_config": {
|
| 402 |
+
"evaluation_description": "Mean OpenEval score for BLEURT_max on truthfulqa.",
|
| 403 |
+
"metric_id": "openeval.truthfulqa.bleurt-max",
|
| 404 |
+
"metric_name": "BLEURT_max",
|
| 405 |
+
"metric_kind": "benchmark_score",
|
| 406 |
+
"metric_unit": "points",
|
| 407 |
+
"lower_is_better": false,
|
| 408 |
+
"score_type": "continuous",
|
| 409 |
+
"min_score": -1.797329306602478,
|
| 410 |
+
"max_score": 1.0,
|
| 411 |
+
"additional_details": {
|
| 412 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 413 |
+
"aggregation": "mean",
|
| 414 |
+
"raw_metric_name": "BLEURT_max",
|
| 415 |
+
"response_count": "790",
|
| 416 |
+
"unique_sample_count": "790",
|
| 417 |
+
"score_values_are_binary": "false",
|
| 418 |
+
"bounds_source": "observed_values",
|
| 419 |
+
"metric_models_json": "[\"bleurt-base-128\"]",
|
| 420 |
+
"extra_artifact_types_json": "[]"
|
| 421 |
+
}
|
| 422 |
+
},
|
| 423 |
+
"score_details": {
|
| 424 |
+
"score": -1.1393559238767321,
|
| 425 |
+
"details": {
|
| 426 |
+
"min_instance_score": "-1.797329306602478",
|
| 427 |
+
"max_instance_score": "0.3687572479248047",
|
| 428 |
+
"response_count": "790",
|
| 429 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 430 |
+
},
|
| 431 |
+
"uncertainty": {
|
| 432 |
+
"standard_error": {
|
| 433 |
+
"value": 0.015209000540143458,
|
| 434 |
+
"method": "analytic"
|
| 435 |
+
},
|
| 436 |
+
"standard_deviation": 0.427478445035263,
|
| 437 |
+
"num_samples": 790
|
| 438 |
+
}
|
| 439 |
+
},
|
| 440 |
+
"generation_config": {
|
| 441 |
+
"generation_args": {
|
| 442 |
+
"temperature": 0.0,
|
| 443 |
+
"top_p": 1.0,
|
| 444 |
+
"max_tokens": 50,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "3c2453a08514"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "truthfulqa::rouge1-acc",
|
| 455 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-acc",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "truthfulqa",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 790,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "truthfulqa",
|
| 464 |
+
"benchmark_version": "v1",
|
| 465 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 466 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 467 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 468 |
+
}
|
| 469 |
+
},
|
| 470 |
+
"metric_config": {
|
| 471 |
+
"evaluation_description": "Mean OpenEval score for rouge1_acc on truthfulqa.",
|
| 472 |
+
"metric_id": "openeval.truthfulqa.rouge1-acc",
|
| 473 |
+
"metric_name": "rouge1_acc",
|
| 474 |
+
"metric_kind": "benchmark_score",
|
| 475 |
+
"metric_unit": "proportion",
|
| 476 |
+
"lower_is_better": false,
|
| 477 |
+
"score_type": "continuous",
|
| 478 |
+
"min_score": 0.0,
|
| 479 |
+
"max_score": 1.0,
|
| 480 |
+
"additional_details": {
|
| 481 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 482 |
+
"aggregation": "mean",
|
| 483 |
+
"raw_metric_name": "rouge1_acc",
|
| 484 |
+
"response_count": "790",
|
| 485 |
+
"unique_sample_count": "790",
|
| 486 |
+
"score_values_are_binary": "true",
|
| 487 |
+
"bounds_source": "binary_values",
|
| 488 |
+
"metric_models_json": "[]",
|
| 489 |
+
"extra_artifact_types_json": "[]"
|
| 490 |
+
}
|
| 491 |
+
},
|
| 492 |
+
"score_details": {
|
| 493 |
+
"score": 0.4582278481012658,
|
| 494 |
+
"details": {
|
| 495 |
+
"min_instance_score": "0.0",
|
| 496 |
+
"max_instance_score": "1.0",
|
| 497 |
+
"response_count": "790",
|
| 498 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 499 |
+
},
|
| 500 |
+
"uncertainty": {
|
| 501 |
+
"standard_error": {
|
| 502 |
+
"value": 0.017738242051697217,
|
| 503 |
+
"method": "analytic"
|
| 504 |
+
},
|
| 505 |
+
"standard_deviation": 0.4985676810191708,
|
| 506 |
+
"num_samples": 790
|
| 507 |
+
}
|
| 508 |
+
},
|
| 509 |
+
"generation_config": {
|
| 510 |
+
"generation_args": {
|
| 511 |
+
"temperature": 0.0,
|
| 512 |
+
"top_p": 1.0,
|
| 513 |
+
"max_tokens": 50,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "3c2453a08514"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "truthfulqa::rouge1-diff",
|
| 524 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-diff",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "truthfulqa",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 790,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "truthfulqa",
|
| 533 |
+
"benchmark_version": "v1",
|
| 534 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 535 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 536 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 537 |
+
}
|
| 538 |
+
},
|
| 539 |
+
"metric_config": {
|
| 540 |
+
"evaluation_description": "Mean OpenEval score for rouge1_diff on truthfulqa.",
|
| 541 |
+
"metric_id": "openeval.truthfulqa.rouge1-diff",
|
| 542 |
+
"metric_name": "rouge1_diff",
|
| 543 |
+
"metric_kind": "benchmark_score",
|
| 544 |
+
"metric_unit": "points",
|
| 545 |
+
"lower_is_better": false,
|
| 546 |
+
"score_type": "continuous",
|
| 547 |
+
"min_score": -84.61538461538461,
|
| 548 |
+
"max_score": 40.42105263157896,
|
| 549 |
+
"additional_details": {
|
| 550 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 551 |
+
"aggregation": "mean",
|
| 552 |
+
"raw_metric_name": "rouge1_diff",
|
| 553 |
+
"response_count": "790",
|
| 554 |
+
"unique_sample_count": "790",
|
| 555 |
+
"score_values_are_binary": "false",
|
| 556 |
+
"bounds_source": "observed_values",
|
| 557 |
+
"metric_models_json": "[]",
|
| 558 |
+
"extra_artifact_types_json": "[]"
|
| 559 |
+
}
|
| 560 |
+
},
|
| 561 |
+
"score_details": {
|
| 562 |
+
"score": -1.6178238152176032,
|
| 563 |
+
"details": {
|
| 564 |
+
"min_instance_score": "-84.61538461538461",
|
| 565 |
+
"max_instance_score": "40.42105263157896",
|
| 566 |
+
"response_count": "790",
|
| 567 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 568 |
+
},
|
| 569 |
+
"uncertainty": {
|
| 570 |
+
"standard_error": {
|
| 571 |
+
"value": 0.44792410542611233,
|
| 572 |
+
"method": "analytic"
|
| 573 |
+
},
|
| 574 |
+
"standard_deviation": 12.589775348877698,
|
| 575 |
+
"num_samples": 790
|
| 576 |
+
}
|
| 577 |
+
},
|
| 578 |
+
"generation_config": {
|
| 579 |
+
"generation_args": {
|
| 580 |
+
"temperature": 0.0,
|
| 581 |
+
"top_p": 1.0,
|
| 582 |
+
"max_tokens": 50,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "3c2453a08514"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"evaluation_result_id": "truthfulqa::rouge1-max",
|
| 593 |
+
"evaluation_name": "openeval.truthfulqa.rouge1-max",
|
| 594 |
+
"source_data": {
|
| 595 |
+
"dataset_name": "truthfulqa",
|
| 596 |
+
"source_type": "hf_dataset",
|
| 597 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 598 |
+
"hf_split": "train",
|
| 599 |
+
"samples_number": 790,
|
| 600 |
+
"additional_details": {
|
| 601 |
+
"benchmark_name": "truthfulqa",
|
| 602 |
+
"benchmark_version": "v1",
|
| 603 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 604 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 605 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 606 |
+
}
|
| 607 |
+
},
|
| 608 |
+
"metric_config": {
|
| 609 |
+
"evaluation_description": "Mean OpenEval score for rouge1_max on truthfulqa.",
|
| 610 |
+
"metric_id": "openeval.truthfulqa.rouge1-max",
|
| 611 |
+
"metric_name": "rouge1_max",
|
| 612 |
+
"metric_kind": "benchmark_score",
|
| 613 |
+
"metric_unit": "points",
|
| 614 |
+
"lower_is_better": false,
|
| 615 |
+
"score_type": "continuous",
|
| 616 |
+
"min_score": 0.0,
|
| 617 |
+
"max_score": 95.65217391304348,
|
| 618 |
+
"additional_details": {
|
| 619 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 620 |
+
"aggregation": "mean",
|
| 621 |
+
"raw_metric_name": "rouge1_max",
|
| 622 |
+
"response_count": "790",
|
| 623 |
+
"unique_sample_count": "790",
|
| 624 |
+
"score_values_are_binary": "false",
|
| 625 |
+
"bounds_source": "observed_values",
|
| 626 |
+
"metric_models_json": "[]",
|
| 627 |
+
"extra_artifact_types_json": "[]"
|
| 628 |
+
}
|
| 629 |
+
},
|
| 630 |
+
"score_details": {
|
| 631 |
+
"score": 20.599575013892483,
|
| 632 |
+
"details": {
|
| 633 |
+
"min_instance_score": "0.0",
|
| 634 |
+
"max_instance_score": "95.65217391304348",
|
| 635 |
+
"response_count": "790",
|
| 636 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 637 |
+
},
|
| 638 |
+
"uncertainty": {
|
| 639 |
+
"standard_error": {
|
| 640 |
+
"value": 0.5740947153467487,
|
| 641 |
+
"method": "analytic"
|
| 642 |
+
},
|
| 643 |
+
"standard_deviation": 16.136044940733182,
|
| 644 |
+
"num_samples": 790
|
| 645 |
+
}
|
| 646 |
+
},
|
| 647 |
+
"generation_config": {
|
| 648 |
+
"generation_args": {
|
| 649 |
+
"temperature": 0.0,
|
| 650 |
+
"top_p": 1.0,
|
| 651 |
+
"max_tokens": 50,
|
| 652 |
+
"max_attempts": 1
|
| 653 |
+
},
|
| 654 |
+
"additional_details": {
|
| 655 |
+
"do_sample": "false",
|
| 656 |
+
"generation_config_hash": "3c2453a08514"
|
| 657 |
+
}
|
| 658 |
+
}
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"evaluation_result_id": "truthfulqa::rouge2-acc",
|
| 662 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-acc",
|
| 663 |
+
"source_data": {
|
| 664 |
+
"dataset_name": "truthfulqa",
|
| 665 |
+
"source_type": "hf_dataset",
|
| 666 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 667 |
+
"hf_split": "train",
|
| 668 |
+
"samples_number": 790,
|
| 669 |
+
"additional_details": {
|
| 670 |
+
"benchmark_name": "truthfulqa",
|
| 671 |
+
"benchmark_version": "v1",
|
| 672 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 673 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 674 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 675 |
+
}
|
| 676 |
+
},
|
| 677 |
+
"metric_config": {
|
| 678 |
+
"evaluation_description": "Mean OpenEval score for rouge2_acc on truthfulqa.",
|
| 679 |
+
"metric_id": "openeval.truthfulqa.rouge2-acc",
|
| 680 |
+
"metric_name": "rouge2_acc",
|
| 681 |
+
"metric_kind": "benchmark_score",
|
| 682 |
+
"metric_unit": "proportion",
|
| 683 |
+
"lower_is_better": false,
|
| 684 |
+
"score_type": "continuous",
|
| 685 |
+
"min_score": 0.0,
|
| 686 |
+
"max_score": 1.0,
|
| 687 |
+
"additional_details": {
|
| 688 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 689 |
+
"aggregation": "mean",
|
| 690 |
+
"raw_metric_name": "rouge2_acc",
|
| 691 |
+
"response_count": "790",
|
| 692 |
+
"unique_sample_count": "790",
|
| 693 |
+
"score_values_are_binary": "true",
|
| 694 |
+
"bounds_source": "binary_values",
|
| 695 |
+
"metric_models_json": "[]",
|
| 696 |
+
"extra_artifact_types_json": "[]"
|
| 697 |
+
}
|
| 698 |
+
},
|
| 699 |
+
"score_details": {
|
| 700 |
+
"score": 0.20759493670886076,
|
| 701 |
+
"details": {
|
| 702 |
+
"min_instance_score": "0.0",
|
| 703 |
+
"max_instance_score": "1.0",
|
| 704 |
+
"response_count": "790",
|
| 705 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 706 |
+
},
|
| 707 |
+
"uncertainty": {
|
| 708 |
+
"standard_error": {
|
| 709 |
+
"value": 0.01443921216203325,
|
| 710 |
+
"method": "analytic"
|
| 711 |
+
},
|
| 712 |
+
"standard_deviation": 0.4058420503220003,
|
| 713 |
+
"num_samples": 790
|
| 714 |
+
}
|
| 715 |
+
},
|
| 716 |
+
"generation_config": {
|
| 717 |
+
"generation_args": {
|
| 718 |
+
"temperature": 0.0,
|
| 719 |
+
"top_p": 1.0,
|
| 720 |
+
"max_tokens": 50,
|
| 721 |
+
"max_attempts": 1
|
| 722 |
+
},
|
| 723 |
+
"additional_details": {
|
| 724 |
+
"do_sample": "false",
|
| 725 |
+
"generation_config_hash": "3c2453a08514"
|
| 726 |
+
}
|
| 727 |
+
}
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"evaluation_result_id": "truthfulqa::rouge2-diff",
|
| 731 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-diff",
|
| 732 |
+
"source_data": {
|
| 733 |
+
"dataset_name": "truthfulqa",
|
| 734 |
+
"source_type": "hf_dataset",
|
| 735 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 736 |
+
"hf_split": "train",
|
| 737 |
+
"samples_number": 790,
|
| 738 |
+
"additional_details": {
|
| 739 |
+
"benchmark_name": "truthfulqa",
|
| 740 |
+
"benchmark_version": "v1",
|
| 741 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 742 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 743 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 744 |
+
}
|
| 745 |
+
},
|
| 746 |
+
"metric_config": {
|
| 747 |
+
"evaluation_description": "Mean OpenEval score for rouge2_diff on truthfulqa.",
|
| 748 |
+
"metric_id": "openeval.truthfulqa.rouge2-diff",
|
| 749 |
+
"metric_name": "rouge2_diff",
|
| 750 |
+
"metric_kind": "benchmark_score",
|
| 751 |
+
"metric_unit": "points",
|
| 752 |
+
"lower_is_better": false,
|
| 753 |
+
"score_type": "continuous",
|
| 754 |
+
"min_score": -96.96969696969695,
|
| 755 |
+
"max_score": 58.333333333333336,
|
| 756 |
+
"additional_details": {
|
| 757 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 758 |
+
"aggregation": "mean",
|
| 759 |
+
"raw_metric_name": "rouge2_diff",
|
| 760 |
+
"response_count": "790",
|
| 761 |
+
"unique_sample_count": "790",
|
| 762 |
+
"score_values_are_binary": "false",
|
| 763 |
+
"bounds_source": "observed_values",
|
| 764 |
+
"metric_models_json": "[]",
|
| 765 |
+
"extra_artifact_types_json": "[]"
|
| 766 |
+
}
|
| 767 |
+
},
|
| 768 |
+
"score_details": {
|
| 769 |
+
"score": -2.395525670719111,
|
| 770 |
+
"details": {
|
| 771 |
+
"min_instance_score": "-96.96969696969695",
|
| 772 |
+
"max_instance_score": "58.333333333333336",
|
| 773 |
+
"response_count": "790",
|
| 774 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 775 |
+
},
|
| 776 |
+
"uncertainty": {
|
| 777 |
+
"standard_error": {
|
| 778 |
+
"value": 0.47156554085891356,
|
| 779 |
+
"method": "analytic"
|
| 780 |
+
},
|
| 781 |
+
"standard_deviation": 13.254263724069782,
|
| 782 |
+
"num_samples": 790
|
| 783 |
+
}
|
| 784 |
+
},
|
| 785 |
+
"generation_config": {
|
| 786 |
+
"generation_args": {
|
| 787 |
+
"temperature": 0.0,
|
| 788 |
+
"top_p": 1.0,
|
| 789 |
+
"max_tokens": 50,
|
| 790 |
+
"max_attempts": 1
|
| 791 |
+
},
|
| 792 |
+
"additional_details": {
|
| 793 |
+
"do_sample": "false",
|
| 794 |
+
"generation_config_hash": "3c2453a08514"
|
| 795 |
+
}
|
| 796 |
+
}
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"evaluation_result_id": "truthfulqa::rouge2-max",
|
| 800 |
+
"evaluation_name": "openeval.truthfulqa.rouge2-max",
|
| 801 |
+
"source_data": {
|
| 802 |
+
"dataset_name": "truthfulqa",
|
| 803 |
+
"source_type": "hf_dataset",
|
| 804 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 805 |
+
"hf_split": "train",
|
| 806 |
+
"samples_number": 790,
|
| 807 |
+
"additional_details": {
|
| 808 |
+
"benchmark_name": "truthfulqa",
|
| 809 |
+
"benchmark_version": "v1",
|
| 810 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 811 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 812 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 813 |
+
}
|
| 814 |
+
},
|
| 815 |
+
"metric_config": {
|
| 816 |
+
"evaluation_description": "Mean OpenEval score for rouge2_max on truthfulqa.",
|
| 817 |
+
"metric_id": "openeval.truthfulqa.rouge2-max",
|
| 818 |
+
"metric_name": "rouge2_max",
|
| 819 |
+
"metric_kind": "benchmark_score",
|
| 820 |
+
"metric_unit": "points",
|
| 821 |
+
"lower_is_better": false,
|
| 822 |
+
"score_type": "continuous",
|
| 823 |
+
"min_score": 0.0,
|
| 824 |
+
"max_score": 95.23809523809524,
|
| 825 |
+
"additional_details": {
|
| 826 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 827 |
+
"aggregation": "mean",
|
| 828 |
+
"raw_metric_name": "rouge2_max",
|
| 829 |
+
"response_count": "790",
|
| 830 |
+
"unique_sample_count": "790",
|
| 831 |
+
"score_values_are_binary": "false",
|
| 832 |
+
"bounds_source": "observed_values",
|
| 833 |
+
"metric_models_json": "[]",
|
| 834 |
+
"extra_artifact_types_json": "[]"
|
| 835 |
+
}
|
| 836 |
+
},
|
| 837 |
+
"score_details": {
|
| 838 |
+
"score": 9.052962991612429,
|
| 839 |
+
"details": {
|
| 840 |
+
"min_instance_score": "0.0",
|
| 841 |
+
"max_instance_score": "95.23809523809524",
|
| 842 |
+
"response_count": "790",
|
| 843 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 844 |
+
},
|
| 845 |
+
"uncertainty": {
|
| 846 |
+
"standard_error": {
|
| 847 |
+
"value": 0.5581895770218809,
|
| 848 |
+
"method": "analytic"
|
| 849 |
+
},
|
| 850 |
+
"standard_deviation": 15.68900019369413,
|
| 851 |
+
"num_samples": 790
|
| 852 |
+
}
|
| 853 |
+
},
|
| 854 |
+
"generation_config": {
|
| 855 |
+
"generation_args": {
|
| 856 |
+
"temperature": 0.0,
|
| 857 |
+
"top_p": 1.0,
|
| 858 |
+
"max_tokens": 50,
|
| 859 |
+
"max_attempts": 1
|
| 860 |
+
},
|
| 861 |
+
"additional_details": {
|
| 862 |
+
"do_sample": "false",
|
| 863 |
+
"generation_config_hash": "3c2453a08514"
|
| 864 |
+
}
|
| 865 |
+
}
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"evaluation_result_id": "truthfulqa::rougel-acc",
|
| 869 |
+
"evaluation_name": "openeval.truthfulqa.rougel-acc",
|
| 870 |
+
"source_data": {
|
| 871 |
+
"dataset_name": "truthfulqa",
|
| 872 |
+
"source_type": "hf_dataset",
|
| 873 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 874 |
+
"hf_split": "train",
|
| 875 |
+
"samples_number": 790,
|
| 876 |
+
"additional_details": {
|
| 877 |
+
"benchmark_name": "truthfulqa",
|
| 878 |
+
"benchmark_version": "v1",
|
| 879 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 880 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 881 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 882 |
+
}
|
| 883 |
+
},
|
| 884 |
+
"metric_config": {
|
| 885 |
+
"evaluation_description": "Mean OpenEval score for rougeL_acc on truthfulqa.",
|
| 886 |
+
"metric_id": "openeval.truthfulqa.rougel-acc",
|
| 887 |
+
"metric_name": "rougeL_acc",
|
| 888 |
+
"metric_kind": "benchmark_score",
|
| 889 |
+
"metric_unit": "proportion",
|
| 890 |
+
"lower_is_better": false,
|
| 891 |
+
"score_type": "continuous",
|
| 892 |
+
"min_score": 0.0,
|
| 893 |
+
"max_score": 1.0,
|
| 894 |
+
"additional_details": {
|
| 895 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 896 |
+
"aggregation": "mean",
|
| 897 |
+
"raw_metric_name": "rougeL_acc",
|
| 898 |
+
"response_count": "790",
|
| 899 |
+
"unique_sample_count": "790",
|
| 900 |
+
"score_values_are_binary": "true",
|
| 901 |
+
"bounds_source": "binary_values",
|
| 902 |
+
"metric_models_json": "[]",
|
| 903 |
+
"extra_artifact_types_json": "[]"
|
| 904 |
+
}
|
| 905 |
+
},
|
| 906 |
+
"score_details": {
|
| 907 |
+
"score": 0.4569620253164557,
|
| 908 |
+
"details": {
|
| 909 |
+
"min_instance_score": "0.0",
|
| 910 |
+
"max_instance_score": "1.0",
|
| 911 |
+
"response_count": "790",
|
| 912 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 913 |
+
},
|
| 914 |
+
"uncertainty": {
|
| 915 |
+
"standard_error": {
|
| 916 |
+
"value": 0.017734406304263126,
|
| 917 |
+
"method": "analytic"
|
| 918 |
+
},
|
| 919 |
+
"standard_deviation": 0.49845986990138264,
|
| 920 |
+
"num_samples": 790
|
| 921 |
+
}
|
| 922 |
+
},
|
| 923 |
+
"generation_config": {
|
| 924 |
+
"generation_args": {
|
| 925 |
+
"temperature": 0.0,
|
| 926 |
+
"top_p": 1.0,
|
| 927 |
+
"max_tokens": 50,
|
| 928 |
+
"max_attempts": 1
|
| 929 |
+
},
|
| 930 |
+
"additional_details": {
|
| 931 |
+
"do_sample": "false",
|
| 932 |
+
"generation_config_hash": "3c2453a08514"
|
| 933 |
+
}
|
| 934 |
+
}
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"evaluation_result_id": "truthfulqa::rougel-diff",
|
| 938 |
+
"evaluation_name": "openeval.truthfulqa.rougel-diff",
|
| 939 |
+
"source_data": {
|
| 940 |
+
"dataset_name": "truthfulqa",
|
| 941 |
+
"source_type": "hf_dataset",
|
| 942 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 943 |
+
"hf_split": "train",
|
| 944 |
+
"samples_number": 790,
|
| 945 |
+
"additional_details": {
|
| 946 |
+
"benchmark_name": "truthfulqa",
|
| 947 |
+
"benchmark_version": "v1",
|
| 948 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 949 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 950 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 951 |
+
}
|
| 952 |
+
},
|
| 953 |
+
"metric_config": {
|
| 954 |
+
"evaluation_description": "Mean OpenEval score for rougeL_diff on truthfulqa.",
|
| 955 |
+
"metric_id": "openeval.truthfulqa.rougel-diff",
|
| 956 |
+
"metric_name": "rougeL_diff",
|
| 957 |
+
"metric_kind": "benchmark_score",
|
| 958 |
+
"metric_unit": "points",
|
| 959 |
+
"lower_is_better": false,
|
| 960 |
+
"score_type": "continuous",
|
| 961 |
+
"min_score": -89.73544973544973,
|
| 962 |
+
"max_score": 43.35664335664336,
|
| 963 |
+
"additional_details": {
|
| 964 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 965 |
+
"aggregation": "mean",
|
| 966 |
+
"raw_metric_name": "rougeL_diff",
|
| 967 |
+
"response_count": "790",
|
| 968 |
+
"unique_sample_count": "790",
|
| 969 |
+
"score_values_are_binary": "false",
|
| 970 |
+
"bounds_source": "observed_values",
|
| 971 |
+
"metric_models_json": "[]",
|
| 972 |
+
"extra_artifact_types_json": "[]"
|
| 973 |
+
}
|
| 974 |
+
},
|
| 975 |
+
"score_details": {
|
| 976 |
+
"score": -1.7384827081101444,
|
| 977 |
+
"details": {
|
| 978 |
+
"min_instance_score": "-89.73544973544973",
|
| 979 |
+
"max_instance_score": "43.35664335664336",
|
| 980 |
+
"response_count": "790",
|
| 981 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 982 |
+
},
|
| 983 |
+
"uncertainty": {
|
| 984 |
+
"standard_error": {
|
| 985 |
+
"value": 0.44057436341494216,
|
| 986 |
+
"method": "analytic"
|
| 987 |
+
},
|
| 988 |
+
"standard_deviation": 12.383196601112349,
|
| 989 |
+
"num_samples": 790
|
| 990 |
+
}
|
| 991 |
+
},
|
| 992 |
+
"generation_config": {
|
| 993 |
+
"generation_args": {
|
| 994 |
+
"temperature": 0.0,
|
| 995 |
+
"top_p": 1.0,
|
| 996 |
+
"max_tokens": 50,
|
| 997 |
+
"max_attempts": 1
|
| 998 |
+
},
|
| 999 |
+
"additional_details": {
|
| 1000 |
+
"do_sample": "false",
|
| 1001 |
+
"generation_config_hash": "3c2453a08514"
|
| 1002 |
+
}
|
| 1003 |
+
}
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"evaluation_result_id": "truthfulqa::rougel-max",
|
| 1007 |
+
"evaluation_name": "openeval.truthfulqa.rougel-max",
|
| 1008 |
+
"source_data": {
|
| 1009 |
+
"dataset_name": "truthfulqa",
|
| 1010 |
+
"source_type": "hf_dataset",
|
| 1011 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 1012 |
+
"hf_split": "train",
|
| 1013 |
+
"samples_number": 790,
|
| 1014 |
+
"additional_details": {
|
| 1015 |
+
"benchmark_name": "truthfulqa",
|
| 1016 |
+
"benchmark_version": "v1",
|
| 1017 |
+
"paper_url": "https://aclanthology.org/2022.acl-long.229/",
|
| 1018 |
+
"dataset_url": "https://huggingface.co/datasets/truthfulqa/truthful_qa",
|
| 1019 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/truthfulqa/truthful_qa\"]"
|
| 1020 |
+
}
|
| 1021 |
+
},
|
| 1022 |
+
"metric_config": {
|
| 1023 |
+
"evaluation_description": "Mean OpenEval score for rougeL_max on truthfulqa.",
|
| 1024 |
+
"metric_id": "openeval.truthfulqa.rougel-max",
|
| 1025 |
+
"metric_name": "rougeL_max",
|
| 1026 |
+
"metric_kind": "benchmark_score",
|
| 1027 |
+
"metric_unit": "points",
|
| 1028 |
+
"lower_is_better": false,
|
| 1029 |
+
"score_type": "continuous",
|
| 1030 |
+
"min_score": 0.0,
|
| 1031 |
+
"max_score": 95.65217391304348,
|
| 1032 |
+
"additional_details": {
|
| 1033 |
+
"benchmark_tags_json": "[\"safety\",\"truthfulness\"]",
|
| 1034 |
+
"aggregation": "mean",
|
| 1035 |
+
"raw_metric_name": "rougeL_max",
|
| 1036 |
+
"response_count": "790",
|
| 1037 |
+
"unique_sample_count": "790",
|
| 1038 |
+
"score_values_are_binary": "false",
|
| 1039 |
+
"bounds_source": "observed_values",
|
| 1040 |
+
"metric_models_json": "[]",
|
| 1041 |
+
"extra_artifact_types_json": "[]"
|
| 1042 |
+
}
|
| 1043 |
+
},
|
| 1044 |
+
"score_details": {
|
| 1045 |
+
"score": 18.253728349687325,
|
| 1046 |
+
"details": {
|
| 1047 |
+
"min_instance_score": "0.0",
|
| 1048 |
+
"max_instance_score": "95.65217391304348",
|
| 1049 |
+
"response_count": "790",
|
| 1050 |
+
"example_response_ids_json": "[\"truthfulqa_20260310T040205Z_0_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_1_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_2_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_3_llama-2-7b-chat-hf_0\",\"truthfulqa_20260310T040205Z_4_llama-2-7b-chat-hf_0\"]"
|
| 1051 |
+
},
|
| 1052 |
+
"uncertainty": {
|
| 1053 |
+
"standard_error": {
|
| 1054 |
+
"value": 0.5504186133952126,
|
| 1055 |
+
"method": "analytic"
|
| 1056 |
+
},
|
| 1057 |
+
"standard_deviation": 15.470582195825976,
|
| 1058 |
+
"num_samples": 790
|
| 1059 |
+
}
|
| 1060 |
+
},
|
| 1061 |
+
"generation_config": {
|
| 1062 |
+
"generation_args": {
|
| 1063 |
+
"temperature": 0.0,
|
| 1064 |
+
"top_p": 1.0,
|
| 1065 |
+
"max_tokens": 50,
|
| 1066 |
+
"max_attempts": 1
|
| 1067 |
+
},
|
| 1068 |
+
"additional_details": {
|
| 1069 |
+
"do_sample": "false",
|
| 1070 |
+
"generation_config_hash": "3c2453a08514"
|
| 1071 |
+
}
|
| 1072 |
+
}
|
| 1073 |
+
}
|
| 1074 |
+
]
|
| 1075 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/41bd39dc-f6eb-42fe-9b2a-f599eda81400.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/758f5aa8b9a5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "opentom::quasi-postfix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.opentom.quasi-postfix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "opentom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 4796,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "opentom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.466/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/SeacowX/OpenToM",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SeacowX/OpenToM\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_postfix_exact_match on opentom.",
|
| 57 |
+
"metric_id": "openeval.opentom.quasi-postfix-exact-match",
|
| 58 |
+
"metric_name": "quasi_postfix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_postfix_exact_match",
|
| 69 |
+
"response_count": "6500",
|
| 70 |
+
"unique_sample_count": "4796",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.0,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "0.0",
|
| 82 |
+
"response_count": "6500",
|
| 83 |
+
"example_response_ids_json": "[\"opentom_20260309T175802Z_15092_llama-2-7b-chat-hf_0\",\"opentom_20260309T175802Z_15093_llama-2-7b-chat-hf_0\",\"opentom_20260309T175802Z_15292_llama-2-7b-chat-hf_0\",\"opentom_20260309T175802Z_15293_llama-2-7b-chat-hf_0\",\"opentom_20260309T175802Z_14060_llama-2-7b-chat-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.0,
|
| 91 |
+
"num_samples": 6500
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 4096,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "false",
|
| 103 |
+
"generation_config_hash": "758f5aa8b9a5"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/5bfb8e84-8985-4280-8569-a93295c75b54.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/c6be6c9e5931/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "culturalbench::quasi-prefix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.culturalbench.quasi-prefix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "culturalbench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 1227,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "culturalbench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2025.acl-long.1247/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/kellycyy/CulturalBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/kellycyy/CulturalBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on culturalbench.",
|
| 57 |
+
"metric_id": "openeval.culturalbench.quasi-prefix-exact-match",
|
| 58 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"cultural knowledge\",\"culture\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 69 |
+
"response_count": "1227",
|
| 70 |
+
"unique_sample_count": "1227",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.0,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "0.0",
|
| 82 |
+
"response_count": "1227",
|
| 83 |
+
"example_response_ids_json": "[\"culturalbench_20260307T223011Z_0_llama-2-7b-chat-hf_0\",\"culturalbench_20260307T223011Z_1_llama-2-7b-chat-hf_0\",\"culturalbench_20260307T223011Z_2_llama-2-7b-chat-hf_0\",\"culturalbench_20260307T223011Z_3_llama-2-7b-chat-hf_0\",\"culturalbench_20260307T223011Z_4_llama-2-7b-chat-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.0,
|
| 91 |
+
"num_samples": 1227
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"max_attempts": 1
|
| 99 |
+
},
|
| 100 |
+
"additional_details": {
|
| 101 |
+
"do_sample": "false",
|
| 102 |
+
"generation_config_hash": "c6be6c9e5931"
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
]
|
| 107 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/6c3614d2-f6ce-41d7-bc14-a040eb7030cb.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/8ba36588df9e/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "hi-tom::quasi-prefix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "hi-tom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 600,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "hi-tom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2023.findings-emnlp.717/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on hi-tom.",
|
| 57 |
+
"metric_id": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 58 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 69 |
+
"response_count": "600",
|
| 70 |
+
"unique_sample_count": "600",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.185,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "600",
|
| 83 |
+
"example_response_ids_json": "[\"hi-tom_20260309T011341Z_0_llama-2-7b-chat-hf_0\",\"hi-tom_20260309T011341Z_1_llama-2-7b-chat-hf_0\",\"hi-tom_20260309T011341Z_2_llama-2-7b-chat-hf_0\",\"hi-tom_20260309T011341Z_3_llama-2-7b-chat-hf_0\",\"hi-tom_20260309T011341Z_4_llama-2-7b-chat-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01586540845074113,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3886215526515595,
|
| 91 |
+
"num_samples": 600
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 2048,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "true",
|
| 103 |
+
"generation_config_hash": "8ba36588df9e"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/7e7cf0ef-5417-4bf2-a1c8-7231990b313a.json
ADDED
|
@@ -0,0 +1,241 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/eaf388aeaaf1/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "emobench::cause-quasi-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.emobench.cause-quasi-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "emobench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 400,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "emobench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for cause_quasi_exact_match on emobench.",
|
| 57 |
+
"metric_id": "openeval.emobench.cause-quasi-exact-match",
|
| 58 |
+
"metric_name": "cause_quasi_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "cause_quasi_exact_match",
|
| 69 |
+
"response_count": "400",
|
| 70 |
+
"unique_sample_count": "400",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.2825,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "400",
|
| 83 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_400_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_401_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_402_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_403_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_404_llama-2-7b-chat-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.02253895263682215,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.45077905273644303,
|
| 91 |
+
"num_samples": 400
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.6,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"max_attempts": 1
|
| 99 |
+
},
|
| 100 |
+
"additional_details": {
|
| 101 |
+
"do_sample": "true",
|
| 102 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 103 |
+
}
|
| 104 |
+
}
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"evaluation_result_id": "emobench::emotion-quasi-exact-match",
|
| 108 |
+
"evaluation_name": "openeval.emobench.emotion-quasi-exact-match",
|
| 109 |
+
"source_data": {
|
| 110 |
+
"dataset_name": "emobench",
|
| 111 |
+
"source_type": "hf_dataset",
|
| 112 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 113 |
+
"hf_split": "train",
|
| 114 |
+
"samples_number": 400,
|
| 115 |
+
"additional_details": {
|
| 116 |
+
"benchmark_name": "emobench",
|
| 117 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 118 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 119 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 120 |
+
}
|
| 121 |
+
},
|
| 122 |
+
"metric_config": {
|
| 123 |
+
"evaluation_description": "Mean OpenEval score for emotion_quasi_exact_match on emobench.",
|
| 124 |
+
"metric_id": "openeval.emobench.emotion-quasi-exact-match",
|
| 125 |
+
"metric_name": "emotion_quasi_exact_match",
|
| 126 |
+
"metric_kind": "benchmark_score",
|
| 127 |
+
"metric_unit": "proportion",
|
| 128 |
+
"lower_is_better": false,
|
| 129 |
+
"score_type": "continuous",
|
| 130 |
+
"min_score": 0.0,
|
| 131 |
+
"max_score": 1.0,
|
| 132 |
+
"additional_details": {
|
| 133 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 134 |
+
"aggregation": "mean",
|
| 135 |
+
"raw_metric_name": "emotion_quasi_exact_match",
|
| 136 |
+
"response_count": "400",
|
| 137 |
+
"unique_sample_count": "400",
|
| 138 |
+
"score_values_are_binary": "true",
|
| 139 |
+
"bounds_source": "binary_values",
|
| 140 |
+
"metric_models_json": "[]",
|
| 141 |
+
"extra_artifact_types_json": "[]"
|
| 142 |
+
}
|
| 143 |
+
},
|
| 144 |
+
"score_details": {
|
| 145 |
+
"score": 0.1025,
|
| 146 |
+
"details": {
|
| 147 |
+
"min_instance_score": "0.0",
|
| 148 |
+
"max_instance_score": "1.0",
|
| 149 |
+
"response_count": "400",
|
| 150 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_400_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_401_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_402_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_403_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_404_llama-2-7b-chat-hf_0\"]"
|
| 151 |
+
},
|
| 152 |
+
"uncertainty": {
|
| 153 |
+
"standard_error": {
|
| 154 |
+
"value": 0.015184227900764524,
|
| 155 |
+
"method": "analytic"
|
| 156 |
+
},
|
| 157 |
+
"standard_deviation": 0.3036845580152905,
|
| 158 |
+
"num_samples": 400
|
| 159 |
+
}
|
| 160 |
+
},
|
| 161 |
+
"generation_config": {
|
| 162 |
+
"generation_args": {
|
| 163 |
+
"temperature": 0.6,
|
| 164 |
+
"top_p": 1.0,
|
| 165 |
+
"max_attempts": 1
|
| 166 |
+
},
|
| 167 |
+
"additional_details": {
|
| 168 |
+
"do_sample": "true",
|
| 169 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 170 |
+
}
|
| 171 |
+
}
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"evaluation_result_id": "emobench::quasi-exact-match",
|
| 175 |
+
"evaluation_name": "openeval.emobench.quasi-exact-match",
|
| 176 |
+
"source_data": {
|
| 177 |
+
"dataset_name": "emobench",
|
| 178 |
+
"source_type": "hf_dataset",
|
| 179 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 180 |
+
"hf_split": "train",
|
| 181 |
+
"samples_number": 390,
|
| 182 |
+
"additional_details": {
|
| 183 |
+
"benchmark_name": "emobench",
|
| 184 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.326/",
|
| 185 |
+
"dataset_url": "https://huggingface.co/datasets/SahandSab/EmoBench",
|
| 186 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SahandSab/EmoBench\"]"
|
| 187 |
+
}
|
| 188 |
+
},
|
| 189 |
+
"metric_config": {
|
| 190 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on emobench.",
|
| 191 |
+
"metric_id": "openeval.emobench.quasi-exact-match",
|
| 192 |
+
"metric_name": "quasi_exact_match",
|
| 193 |
+
"metric_kind": "benchmark_score",
|
| 194 |
+
"metric_unit": "proportion",
|
| 195 |
+
"lower_is_better": false,
|
| 196 |
+
"score_type": "continuous",
|
| 197 |
+
"min_score": 0.0,
|
| 198 |
+
"max_score": 1.0,
|
| 199 |
+
"additional_details": {
|
| 200 |
+
"benchmark_tags_json": "[\"emotion\",\"emotional intelligence\"]",
|
| 201 |
+
"aggregation": "mean",
|
| 202 |
+
"raw_metric_name": "quasi_exact_match",
|
| 203 |
+
"response_count": "390",
|
| 204 |
+
"unique_sample_count": "390",
|
| 205 |
+
"score_values_are_binary": "true",
|
| 206 |
+
"bounds_source": "binary_values",
|
| 207 |
+
"metric_models_json": "[]",
|
| 208 |
+
"extra_artifact_types_json": "[]"
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
"score_details": {
|
| 212 |
+
"score": 0.13333333333333333,
|
| 213 |
+
"details": {
|
| 214 |
+
"min_instance_score": "0.0",
|
| 215 |
+
"max_instance_score": "1.0",
|
| 216 |
+
"response_count": "390",
|
| 217 |
+
"example_response_ids_json": "[\"emobench_20260308T044710Z_0_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_1_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_2_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_3_llama-2-7b-chat-hf_0\",\"emobench_20260308T044710Z_4_llama-2-7b-chat-hf_0\"]"
|
| 218 |
+
},
|
| 219 |
+
"uncertainty": {
|
| 220 |
+
"standard_error": {
|
| 221 |
+
"value": 0.017235370127540194,
|
| 222 |
+
"method": "analytic"
|
| 223 |
+
},
|
| 224 |
+
"standard_deviation": 0.3403712877711469,
|
| 225 |
+
"num_samples": 390
|
| 226 |
+
}
|
| 227 |
+
},
|
| 228 |
+
"generation_config": {
|
| 229 |
+
"generation_args": {
|
| 230 |
+
"temperature": 0.6,
|
| 231 |
+
"top_p": 1.0,
|
| 232 |
+
"max_attempts": 1
|
| 233 |
+
},
|
| 234 |
+
"additional_details": {
|
| 235 |
+
"do_sample": "true",
|
| 236 |
+
"generation_config_hash": "eaf388aeaaf1"
|
| 237 |
+
}
|
| 238 |
+
}
|
| 239 |
+
}
|
| 240 |
+
]
|
| 241 |
+
}
|
data/openeval/meta/llama-2-7b-chat-hf/92d5bea5-4bbf-49d6-b4fa-61685027e251.json
ADDED
|
@@ -0,0 +1,176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-2-7b-chat-hf/83a9c970d4f2/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-2-7b-chat-hf",
|
| 31 |
+
"id": "meta/Llama-2-7b-chat-hf",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-2-7b-chat-hf",
|
| 35 |
+
"model_size": "7b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "salad-bench::attack-success",
|
| 41 |
+
"evaluation_name": "openeval.salad-bench.attack-success",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "salad-bench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 5000,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "salad-bench",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.findings-acl.235/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/OpenSafetyLab/Salad-Data",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/OpenSafetyLab/Salad-Data\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for attack_success on salad-bench.",
|
| 57 |
+
"metric_id": "openeval.salad-bench.attack-success",
|
| 58 |
+
"metric_name": "attack_success",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"safety\",\"jailbreak\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "attack_success",
|
| 69 |
+
"response_count": "5000",
|
| 70 |
+
"unique_sample_count": "5000",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[\"reject_stems\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.3322,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "5000",
|
| 83 |
+
"example_response_ids_json": "[\"salad-bench_20260309T230515Z_0_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_1_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_2_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_3_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_4_llama-2-7b-chat-hf_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.006661644504287233,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.47104940028355996,
|
| 91 |
+
"num_samples": 5000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 512,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "true",
|
| 103 |
+
"generation_config_hash": "83a9c970d4f2"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"evaluation_result_id": "salad-bench::exact-match",
|
| 109 |
+
"evaluation_name": "openeval.salad-bench.exact-match",
|
| 110 |
+
"source_data": {
|
| 111 |
+
"dataset_name": "salad-bench",
|
| 112 |
+
"source_type": "hf_dataset",
|
| 113 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 114 |
+
"hf_split": "train",
|
| 115 |
+
"samples_number": 3832,
|
| 116 |
+
"additional_details": {
|
| 117 |
+
"benchmark_name": "salad-bench",
|
| 118 |
+
"paper_url": "https://aclanthology.org/2024.findings-acl.235/",
|
| 119 |
+
"dataset_url": "https://huggingface.co/datasets/OpenSafetyLab/Salad-Data",
|
| 120 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/OpenSafetyLab/Salad-Data\"]"
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
"metric_config": {
|
| 124 |
+
"evaluation_description": "Mean OpenEval score for exact_match on salad-bench.",
|
| 125 |
+
"metric_id": "openeval.salad-bench.exact-match",
|
| 126 |
+
"metric_name": "exact_match",
|
| 127 |
+
"metric_kind": "benchmark_score",
|
| 128 |
+
"metric_unit": "proportion",
|
| 129 |
+
"lower_is_better": false,
|
| 130 |
+
"score_type": "continuous",
|
| 131 |
+
"min_score": 0.0,
|
| 132 |
+
"max_score": 1.0,
|
| 133 |
+
"additional_details": {
|
| 134 |
+
"benchmark_tags_json": "[\"safety\",\"jailbreak\"]",
|
| 135 |
+
"aggregation": "mean",
|
| 136 |
+
"raw_metric_name": "exact_match",
|
| 137 |
+
"response_count": "3832",
|
| 138 |
+
"unique_sample_count": "3832",
|
| 139 |
+
"score_values_are_binary": "true",
|
| 140 |
+
"bounds_source": "binary_values",
|
| 141 |
+
"metric_models_json": "[]",
|
| 142 |
+
"extra_artifact_types_json": "[]"
|
| 143 |
+
}
|
| 144 |
+
},
|
| 145 |
+
"score_details": {
|
| 146 |
+
"score": 0.0,
|
| 147 |
+
"details": {
|
| 148 |
+
"min_instance_score": "0.0",
|
| 149 |
+
"max_instance_score": "0.0",
|
| 150 |
+
"response_count": "3832",
|
| 151 |
+
"example_response_ids_json": "[\"salad-bench_20260309T230515Z_5000_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_5001_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_5002_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_5003_llama-2-7b-chat-hf_0\",\"salad-bench_20260309T230515Z_5004_llama-2-7b-chat-hf_0\"]"
|
| 152 |
+
},
|
| 153 |
+
"uncertainty": {
|
| 154 |
+
"standard_error": {
|
| 155 |
+
"value": 0.0,
|
| 156 |
+
"method": "analytic"
|
| 157 |
+
},
|
| 158 |
+
"standard_deviation": 0.0,
|
| 159 |
+
"num_samples": 3832
|
| 160 |
+
}
|
| 161 |
+
},
|
| 162 |
+
"generation_config": {
|
| 163 |
+
"generation_args": {
|
| 164 |
+
"temperature": 1.0,
|
| 165 |
+
"top_p": 0.95,
|
| 166 |
+
"max_tokens": 512,
|
| 167 |
+
"max_attempts": 1
|
| 168 |
+
},
|
| 169 |
+
"additional_details": {
|
| 170 |
+
"do_sample": "true",
|
| 171 |
+
"generation_config_hash": "83a9c970d4f2"
|
| 172 |
+
}
|
| 173 |
+
}
|
| 174 |
+
}
|
| 175 |
+
]
|
| 176 |
+
}
|
data/openeval/meta/llama-3-8b-chat/6d4c136d-ed6d-43bf-a5ae-0deb733f67f0.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3-8b-chat/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3-8b-chat",
|
| 31 |
+
"id": "meta/llama-3-8b-chat",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3-8b-chat",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.9815,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3-8b-chat_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.003764561318656122,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.1190458815832027,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.995,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3-8b-chat_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3-8b-chat_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.0016890390323651059,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.053412103992005903,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.72375,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_1_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_2_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_3_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_4_llama-3-8b-chat_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.020976232970294266,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4195246594058853,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.73,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_1_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_2_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_3_llama-3-8b-chat_0\",\"harmbench_20260421T041055Z_4_llama-3-8b-chat_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.02046453010653318,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.4092906021306636,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.99,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_1_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_2_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_3_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_4_llama-3-8b-chat_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.01,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.1,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.995,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.5",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_1_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_2_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_3_llama-3-8b-chat_0\",\"simplesafetytests_20260421T041445Z_4_llama-3-8b-chat_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.005,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.05,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9288888888888889,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_1_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_2_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_3_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_4_llama-3-8b-chat_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.011819069153983286,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.25072031838283,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9833333333333333,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_1_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_2_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_3_llama-3-8b-chat_0\",\"xstest_20260421T040447Z_4_llama-3-8b-chat_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.00593831193409184,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.12597061912192029,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/meta/llama-3.1-70b-instruct-turbo/258796d5-7b2a-4d7a-a933-2ca487fbf74c.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-70b-instruct-turbo/975c068c45b0/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-70b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-70b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-70b-instruct-turbo",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "mmlu-pro",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 998,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "mmlu-pro",
|
| 50 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 57 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "998",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.653,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_llama-3.1-70b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_1570_llama-3.1-70b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_6943_llama-3.1-70b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_6058_llama-3.1-70b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_10267_llama-3.1-70b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.015060472031706637,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4762539425745658,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "975c068c45b0"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-3.1-70b-instruct-turbo/321a5f1a-7c70-498d-8b11-daf6fc782a02.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-70b-instruct-turbo/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-70b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-70b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-70b-instruct-turbo",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.897,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3.1-70b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.008872413410099854,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.28057034718537116,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.96725,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3.1-70b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3.1-70b-instruct-turbo_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.004031897034113557,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.12749977919076447,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.43,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_1_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_2_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_3_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.02348678506483389,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4697357012966778,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.5075,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_1_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_2_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_3_llama-3.1-70b-instruct-turbo_0\",\"harmbench_20260421T041055Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.02093932935374152,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.41878658707483035,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.9,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_1_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_2_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_3_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.03015113445777636,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.30151134457776363,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.95,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_1_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_2_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_3_llama-3.1-70b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.020719385350268703,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.20719385350268701,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9022222222222223,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_1_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_2_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_3_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.013659300127356621,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.28975751238948416,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9877777777777778,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_1_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_2_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_3_llama-3.1-70b-instruct-turbo_0\",\"xstest_20260421T040447Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.005064678319739946,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.10743805153249815,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/meta/llama-3.1-70b-instruct-turbo/4198d08e-bd2d-40ed-b8b0-654d2e0b59bd.json
ADDED
|
@@ -0,0 +1,389 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-70b-instruct-turbo/9188da3bfb5d/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-70b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-70b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-70b-instruct-turbo",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.8210104744300678,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_llama-3.1-70b-instruct-turbo_0\",\"ifeval_20260421T021146Z_1_llama-3.1-70b-instruct-turbo_0\",\"ifeval_20260421T021146Z_2_llama-3.1-70b-instruct-turbo_0\",\"ifeval_20260421T021146Z_3_llama-3.1-70b-instruct-turbo_0\",\"ifeval_20260421T021146Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.014248085113600237,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.33140200634241584,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "omni-math::claude-correctness",
|
| 110 |
+
"evaluation_name": "openeval.omni-math.claude-correctness",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "omni-math",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 999,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "omni-math",
|
| 119 |
+
"benchmark_version": "v1",
|
| 120 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 121 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 122 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"metric_config": {
|
| 126 |
+
"evaluation_description": "Mean OpenEval score for claude_correctness on omni-math.",
|
| 127 |
+
"metric_id": "openeval.omni-math.claude-correctness",
|
| 128 |
+
"metric_name": "claude_correctness",
|
| 129 |
+
"metric_kind": "benchmark_score",
|
| 130 |
+
"metric_unit": "points",
|
| 131 |
+
"lower_is_better": false,
|
| 132 |
+
"score_type": "continuous",
|
| 133 |
+
"min_score": -1.0,
|
| 134 |
+
"max_score": 1.0,
|
| 135 |
+
"additional_details": {
|
| 136 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 137 |
+
"aggregation": "mean",
|
| 138 |
+
"raw_metric_name": "claude_correctness",
|
| 139 |
+
"response_count": "1000",
|
| 140 |
+
"unique_sample_count": "999",
|
| 141 |
+
"score_values_are_binary": "false",
|
| 142 |
+
"bounds_source": "observed_values",
|
| 143 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 144 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"score_details": {
|
| 148 |
+
"score": 0.21,
|
| 149 |
+
"details": {
|
| 150 |
+
"min_instance_score": "-1.0",
|
| 151 |
+
"max_instance_score": "1.0",
|
| 152 |
+
"response_count": "1000",
|
| 153 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_582_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_3933_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2696_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2406_llama-3.1-70b-instruct-turbo_0\"]"
|
| 154 |
+
},
|
| 155 |
+
"uncertainty": {
|
| 156 |
+
"standard_error": {
|
| 157 |
+
"value": 0.0129641069136315,
|
| 158 |
+
"method": "analytic"
|
| 159 |
+
},
|
| 160 |
+
"standard_deviation": 0.4099610567701133,
|
| 161 |
+
"num_samples": 1000
|
| 162 |
+
}
|
| 163 |
+
},
|
| 164 |
+
"generation_config": {
|
| 165 |
+
"generation_args": {
|
| 166 |
+
"temperature": 0.0,
|
| 167 |
+
"top_p": 1.0,
|
| 168 |
+
"top_k": 1.0,
|
| 169 |
+
"max_tokens": 4096,
|
| 170 |
+
"max_attempts": 1
|
| 171 |
+
},
|
| 172 |
+
"additional_details": {
|
| 173 |
+
"do_sample": "false",
|
| 174 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"evaluation_result_id": "omni-math::gpt-correctness",
|
| 180 |
+
"evaluation_name": "openeval.omni-math.gpt-correctness",
|
| 181 |
+
"source_data": {
|
| 182 |
+
"dataset_name": "omni-math",
|
| 183 |
+
"source_type": "hf_dataset",
|
| 184 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 185 |
+
"hf_split": "train",
|
| 186 |
+
"samples_number": 999,
|
| 187 |
+
"additional_details": {
|
| 188 |
+
"benchmark_name": "omni-math",
|
| 189 |
+
"benchmark_version": "v1",
|
| 190 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 191 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 192 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"metric_config": {
|
| 196 |
+
"evaluation_description": "Mean OpenEval score for gpt_correctness on omni-math.",
|
| 197 |
+
"metric_id": "openeval.omni-math.gpt-correctness",
|
| 198 |
+
"metric_name": "gpt_correctness",
|
| 199 |
+
"metric_kind": "benchmark_score",
|
| 200 |
+
"metric_unit": "proportion",
|
| 201 |
+
"lower_is_better": false,
|
| 202 |
+
"score_type": "continuous",
|
| 203 |
+
"min_score": 0.0,
|
| 204 |
+
"max_score": 1.0,
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 207 |
+
"aggregation": "mean",
|
| 208 |
+
"raw_metric_name": "gpt_correctness",
|
| 209 |
+
"response_count": "1000",
|
| 210 |
+
"unique_sample_count": "999",
|
| 211 |
+
"score_values_are_binary": "true",
|
| 212 |
+
"bounds_source": "binary_values",
|
| 213 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 214 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"score_details": {
|
| 218 |
+
"score": 0.202,
|
| 219 |
+
"details": {
|
| 220 |
+
"min_instance_score": "0.0",
|
| 221 |
+
"max_instance_score": "1.0",
|
| 222 |
+
"response_count": "1000",
|
| 223 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_582_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_3933_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2696_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2406_llama-3.1-70b-instruct-turbo_0\"]"
|
| 224 |
+
},
|
| 225 |
+
"uncertainty": {
|
| 226 |
+
"standard_error": {
|
| 227 |
+
"value": 0.01270265158765513,
|
| 228 |
+
"method": "analytic"
|
| 229 |
+
},
|
| 230 |
+
"standard_deviation": 0.4016931134054421,
|
| 231 |
+
"num_samples": 1000
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"generation_config": {
|
| 235 |
+
"generation_args": {
|
| 236 |
+
"temperature": 0.0,
|
| 237 |
+
"top_p": 1.0,
|
| 238 |
+
"top_k": 1.0,
|
| 239 |
+
"max_tokens": 4096,
|
| 240 |
+
"max_attempts": 1
|
| 241 |
+
},
|
| 242 |
+
"additional_details": {
|
| 243 |
+
"do_sample": "false",
|
| 244 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"evaluation_result_id": "omni-math::llama-correctness",
|
| 250 |
+
"evaluation_name": "openeval.omni-math.llama-correctness",
|
| 251 |
+
"source_data": {
|
| 252 |
+
"dataset_name": "omni-math",
|
| 253 |
+
"source_type": "hf_dataset",
|
| 254 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 255 |
+
"hf_split": "train",
|
| 256 |
+
"samples_number": 999,
|
| 257 |
+
"additional_details": {
|
| 258 |
+
"benchmark_name": "omni-math",
|
| 259 |
+
"benchmark_version": "v1",
|
| 260 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 261 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 262 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"metric_config": {
|
| 266 |
+
"evaluation_description": "Mean OpenEval score for llama_correctness on omni-math.",
|
| 267 |
+
"metric_id": "openeval.omni-math.llama-correctness",
|
| 268 |
+
"metric_name": "llama_correctness",
|
| 269 |
+
"metric_kind": "benchmark_score",
|
| 270 |
+
"metric_unit": "proportion",
|
| 271 |
+
"lower_is_better": false,
|
| 272 |
+
"score_type": "continuous",
|
| 273 |
+
"min_score": 0.0,
|
| 274 |
+
"max_score": 1.0,
|
| 275 |
+
"additional_details": {
|
| 276 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"raw_metric_name": "llama_correctness",
|
| 279 |
+
"response_count": "1000",
|
| 280 |
+
"unique_sample_count": "999",
|
| 281 |
+
"score_values_are_binary": "true",
|
| 282 |
+
"bounds_source": "binary_values",
|
| 283 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 284 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"justification\",\"parsed_final_answer\"]"
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"score_details": {
|
| 288 |
+
"score": 0.216,
|
| 289 |
+
"details": {
|
| 290 |
+
"min_instance_score": "0.0",
|
| 291 |
+
"max_instance_score": "1.0",
|
| 292 |
+
"response_count": "1000",
|
| 293 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_582_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_3933_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2696_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2406_llama-3.1-70b-instruct-turbo_0\"]"
|
| 294 |
+
},
|
| 295 |
+
"uncertainty": {
|
| 296 |
+
"standard_error": {
|
| 297 |
+
"value": 0.013019735539307761,
|
| 298 |
+
"method": "analytic"
|
| 299 |
+
},
|
| 300 |
+
"standard_deviation": 0.4117201883725324,
|
| 301 |
+
"num_samples": 1000
|
| 302 |
+
}
|
| 303 |
+
},
|
| 304 |
+
"generation_config": {
|
| 305 |
+
"generation_args": {
|
| 306 |
+
"temperature": 0.0,
|
| 307 |
+
"top_p": 1.0,
|
| 308 |
+
"top_k": 1.0,
|
| 309 |
+
"max_tokens": 4096,
|
| 310 |
+
"max_attempts": 1
|
| 311 |
+
},
|
| 312 |
+
"additional_details": {
|
| 313 |
+
"do_sample": "false",
|
| 314 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"evaluation_result_id": "omni-math::omni-math-accuracy",
|
| 320 |
+
"evaluation_name": "openeval.omni-math.omni-math-accuracy",
|
| 321 |
+
"source_data": {
|
| 322 |
+
"dataset_name": "omni-math",
|
| 323 |
+
"source_type": "hf_dataset",
|
| 324 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 325 |
+
"hf_split": "train",
|
| 326 |
+
"samples_number": 999,
|
| 327 |
+
"additional_details": {
|
| 328 |
+
"benchmark_name": "omni-math",
|
| 329 |
+
"benchmark_version": "v1",
|
| 330 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/27714",
|
| 331 |
+
"dataset_url": "https://huggingface.co/datasets/KbsdJames/Omni-MATH",
|
| 332 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/KbsdJames/Omni-MATH\"]"
|
| 333 |
+
}
|
| 334 |
+
},
|
| 335 |
+
"metric_config": {
|
| 336 |
+
"evaluation_description": "Mean OpenEval score for omni_math_accuracy on omni-math.",
|
| 337 |
+
"metric_id": "openeval.omni-math.omni-math-accuracy",
|
| 338 |
+
"metric_name": "omni_math_accuracy",
|
| 339 |
+
"metric_kind": "benchmark_score",
|
| 340 |
+
"metric_unit": "score",
|
| 341 |
+
"lower_is_better": false,
|
| 342 |
+
"score_type": "continuous",
|
| 343 |
+
"min_score": 0.0,
|
| 344 |
+
"max_score": 1.0,
|
| 345 |
+
"additional_details": {
|
| 346 |
+
"benchmark_tags_json": "[\"math\"]",
|
| 347 |
+
"aggregation": "mean",
|
| 348 |
+
"raw_metric_name": "omni_math_accuracy",
|
| 349 |
+
"response_count": "1000",
|
| 350 |
+
"unique_sample_count": "999",
|
| 351 |
+
"score_values_are_binary": "false",
|
| 352 |
+
"bounds_source": "normalized_observed_values",
|
| 353 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 354 |
+
"extra_artifact_types_json": "[\"definition\"]"
|
| 355 |
+
}
|
| 356 |
+
},
|
| 357 |
+
"score_details": {
|
| 358 |
+
"score": 0.21,
|
| 359 |
+
"details": {
|
| 360 |
+
"min_instance_score": "0.0",
|
| 361 |
+
"max_instance_score": "1.0",
|
| 362 |
+
"response_count": "1000",
|
| 363 |
+
"example_response_ids_json": "[\"omni-math_20260421T014254Z_1695_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_582_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_3933_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2696_llama-3.1-70b-instruct-turbo_0\",\"omni-math_20260421T014254Z_2406_llama-3.1-70b-instruct-turbo_0\"]"
|
| 364 |
+
},
|
| 365 |
+
"uncertainty": {
|
| 366 |
+
"standard_error": {
|
| 367 |
+
"value": 0.012642690196044946,
|
| 368 |
+
"method": "analytic"
|
| 369 |
+
},
|
| 370 |
+
"standard_deviation": 0.39979696771382717,
|
| 371 |
+
"num_samples": 1000
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"generation_config": {
|
| 375 |
+
"generation_args": {
|
| 376 |
+
"temperature": 0.0,
|
| 377 |
+
"top_p": 1.0,
|
| 378 |
+
"top_k": 1.0,
|
| 379 |
+
"max_tokens": 4096,
|
| 380 |
+
"max_attempts": 1
|
| 381 |
+
},
|
| 382 |
+
"additional_details": {
|
| 383 |
+
"do_sample": "false",
|
| 384 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 385 |
+
}
|
| 386 |
+
}
|
| 387 |
+
}
|
| 388 |
+
]
|
| 389 |
+
}
|
data/openeval/meta/llama-3.1-70b-instruct-turbo/8d59a604-cfb9-4415-b242-4e5b84dec3a4.json
ADDED
|
@@ -0,0 +1,320 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-70b-instruct-turbo/03d0365ba4cc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-70b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-70b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-70b-instruct-turbo",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 41 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "wildbench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 1000,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "wildbench",
|
| 50 |
+
"benchmark_version": "v2",
|
| 51 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 52 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 53 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"metric_config": {
|
| 57 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 58 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 59 |
+
"metric_name": "claude_score",
|
| 60 |
+
"metric_kind": "benchmark_score",
|
| 61 |
+
"metric_unit": "points",
|
| 62 |
+
"lower_is_better": false,
|
| 63 |
+
"score_type": "continuous",
|
| 64 |
+
"min_score": -1.0,
|
| 65 |
+
"max_score": 9.0,
|
| 66 |
+
"additional_details": {
|
| 67 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 68 |
+
"aggregation": "mean",
|
| 69 |
+
"raw_metric_name": "claude_score",
|
| 70 |
+
"response_count": "1000",
|
| 71 |
+
"unique_sample_count": "1000",
|
| 72 |
+
"score_values_are_binary": "false",
|
| 73 |
+
"bounds_source": "observed_values",
|
| 74 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 75 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 76 |
+
}
|
| 77 |
+
},
|
| 78 |
+
"score_details": {
|
| 79 |
+
"score": 7.776,
|
| 80 |
+
"details": {
|
| 81 |
+
"min_instance_score": "-1.0",
|
| 82 |
+
"max_instance_score": "9.0",
|
| 83 |
+
"response_count": "1000",
|
| 84 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-70b-instruct-turbo_0\"]"
|
| 85 |
+
},
|
| 86 |
+
"uncertainty": {
|
| 87 |
+
"standard_error": {
|
| 88 |
+
"value": 0.042303825047075985,
|
| 89 |
+
"method": "analytic"
|
| 90 |
+
},
|
| 91 |
+
"standard_deviation": 1.3377644088603993,
|
| 92 |
+
"num_samples": 1000
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"generation_config": {
|
| 96 |
+
"generation_args": {
|
| 97 |
+
"temperature": 0.0,
|
| 98 |
+
"top_p": 1.0,
|
| 99 |
+
"top_k": 1.0,
|
| 100 |
+
"max_tokens": 2000,
|
| 101 |
+
"max_attempts": 1
|
| 102 |
+
},
|
| 103 |
+
"additional_details": {
|
| 104 |
+
"do_sample": "false",
|
| 105 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 111 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 112 |
+
"source_data": {
|
| 113 |
+
"dataset_name": "wildbench",
|
| 114 |
+
"source_type": "hf_dataset",
|
| 115 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 116 |
+
"hf_split": "train",
|
| 117 |
+
"samples_number": 1000,
|
| 118 |
+
"additional_details": {
|
| 119 |
+
"benchmark_name": "wildbench",
|
| 120 |
+
"benchmark_version": "v2",
|
| 121 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 122 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 123 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
"metric_config": {
|
| 127 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 128 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 129 |
+
"metric_name": "gpt_score",
|
| 130 |
+
"metric_kind": "benchmark_score",
|
| 131 |
+
"metric_unit": "points",
|
| 132 |
+
"lower_is_better": false,
|
| 133 |
+
"score_type": "continuous",
|
| 134 |
+
"min_score": 0.0,
|
| 135 |
+
"max_score": 10.0,
|
| 136 |
+
"additional_details": {
|
| 137 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 138 |
+
"aggregation": "mean",
|
| 139 |
+
"raw_metric_name": "gpt_score",
|
| 140 |
+
"response_count": "1000",
|
| 141 |
+
"unique_sample_count": "1000",
|
| 142 |
+
"score_values_are_binary": "false",
|
| 143 |
+
"bounds_source": "observed_values",
|
| 144 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 145 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 146 |
+
}
|
| 147 |
+
},
|
| 148 |
+
"score_details": {
|
| 149 |
+
"score": 7.452,
|
| 150 |
+
"details": {
|
| 151 |
+
"min_instance_score": "1.0",
|
| 152 |
+
"max_instance_score": "10.0",
|
| 153 |
+
"response_count": "1000",
|
| 154 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-70b-instruct-turbo_0\"]"
|
| 155 |
+
},
|
| 156 |
+
"uncertainty": {
|
| 157 |
+
"standard_error": {
|
| 158 |
+
"value": 0.05372692604814259,
|
| 159 |
+
"method": "analytic"
|
| 160 |
+
},
|
| 161 |
+
"standard_deviation": 1.698994579915599,
|
| 162 |
+
"num_samples": 1000
|
| 163 |
+
}
|
| 164 |
+
},
|
| 165 |
+
"generation_config": {
|
| 166 |
+
"generation_args": {
|
| 167 |
+
"temperature": 0.0,
|
| 168 |
+
"top_p": 1.0,
|
| 169 |
+
"top_k": 1.0,
|
| 170 |
+
"max_tokens": 2000,
|
| 171 |
+
"max_attempts": 1
|
| 172 |
+
},
|
| 173 |
+
"additional_details": {
|
| 174 |
+
"do_sample": "false",
|
| 175 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 176 |
+
}
|
| 177 |
+
}
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 181 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 182 |
+
"source_data": {
|
| 183 |
+
"dataset_name": "wildbench",
|
| 184 |
+
"source_type": "hf_dataset",
|
| 185 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 186 |
+
"hf_split": "train",
|
| 187 |
+
"samples_number": 1000,
|
| 188 |
+
"additional_details": {
|
| 189 |
+
"benchmark_name": "wildbench",
|
| 190 |
+
"benchmark_version": "v2",
|
| 191 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 192 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 193 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 194 |
+
}
|
| 195 |
+
},
|
| 196 |
+
"metric_config": {
|
| 197 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 198 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 199 |
+
"metric_name": "llama_score",
|
| 200 |
+
"metric_kind": "benchmark_score",
|
| 201 |
+
"metric_unit": "points",
|
| 202 |
+
"lower_is_better": false,
|
| 203 |
+
"score_type": "continuous",
|
| 204 |
+
"min_score": 0.0,
|
| 205 |
+
"max_score": 10.0,
|
| 206 |
+
"additional_details": {
|
| 207 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 208 |
+
"aggregation": "mean",
|
| 209 |
+
"raw_metric_name": "llama_score",
|
| 210 |
+
"response_count": "1000",
|
| 211 |
+
"unique_sample_count": "1000",
|
| 212 |
+
"score_values_are_binary": "false",
|
| 213 |
+
"bounds_source": "observed_values",
|
| 214 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 215 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 216 |
+
}
|
| 217 |
+
},
|
| 218 |
+
"score_details": {
|
| 219 |
+
"score": 8.217,
|
| 220 |
+
"details": {
|
| 221 |
+
"min_instance_score": "1.0",
|
| 222 |
+
"max_instance_score": "10.0",
|
| 223 |
+
"response_count": "1000",
|
| 224 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-70b-instruct-turbo_0\"]"
|
| 225 |
+
},
|
| 226 |
+
"uncertainty": {
|
| 227 |
+
"standard_error": {
|
| 228 |
+
"value": 0.04328723581824999,
|
| 229 |
+
"method": "analytic"
|
| 230 |
+
},
|
| 231 |
+
"standard_deviation": 1.3688625879849243,
|
| 232 |
+
"num_samples": 1000
|
| 233 |
+
}
|
| 234 |
+
},
|
| 235 |
+
"generation_config": {
|
| 236 |
+
"generation_args": {
|
| 237 |
+
"temperature": 0.0,
|
| 238 |
+
"top_p": 1.0,
|
| 239 |
+
"top_k": 1.0,
|
| 240 |
+
"max_tokens": 2000,
|
| 241 |
+
"max_attempts": 1
|
| 242 |
+
},
|
| 243 |
+
"additional_details": {
|
| 244 |
+
"do_sample": "false",
|
| 245 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 246 |
+
}
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 251 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 252 |
+
"source_data": {
|
| 253 |
+
"dataset_name": "wildbench",
|
| 254 |
+
"source_type": "hf_dataset",
|
| 255 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 256 |
+
"hf_split": "train",
|
| 257 |
+
"samples_number": 1000,
|
| 258 |
+
"additional_details": {
|
| 259 |
+
"benchmark_name": "wildbench",
|
| 260 |
+
"benchmark_version": "v2",
|
| 261 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 262 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 263 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 264 |
+
}
|
| 265 |
+
},
|
| 266 |
+
"metric_config": {
|
| 267 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 268 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 269 |
+
"metric_name": "wildbench_score_rescaled",
|
| 270 |
+
"metric_kind": "benchmark_score",
|
| 271 |
+
"metric_unit": "score",
|
| 272 |
+
"lower_is_better": false,
|
| 273 |
+
"score_type": "continuous",
|
| 274 |
+
"min_score": 0.0,
|
| 275 |
+
"max_score": 1.0,
|
| 276 |
+
"additional_details": {
|
| 277 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 278 |
+
"aggregation": "mean",
|
| 279 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 280 |
+
"response_count": "1000",
|
| 281 |
+
"unique_sample_count": "1000",
|
| 282 |
+
"score_values_are_binary": "false",
|
| 283 |
+
"bounds_source": "normalized_observed_values",
|
| 284 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 285 |
+
"extra_artifact_types_json": "[]"
|
| 286 |
+
}
|
| 287 |
+
},
|
| 288 |
+
"score_details": {
|
| 289 |
+
"score": 0.7583148148148148,
|
| 290 |
+
"details": {
|
| 291 |
+
"min_instance_score": "0.0",
|
| 292 |
+
"max_instance_score": "0.9629629629629629",
|
| 293 |
+
"response_count": "1000",
|
| 294 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-70b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-70b-instruct-turbo_0\"]"
|
| 295 |
+
},
|
| 296 |
+
"uncertainty": {
|
| 297 |
+
"standard_error": {
|
| 298 |
+
"value": 0.004486953580876032,
|
| 299 |
+
"method": "analytic"
|
| 300 |
+
},
|
| 301 |
+
"standard_deviation": 0.1418899307101679,
|
| 302 |
+
"num_samples": 1000
|
| 303 |
+
}
|
| 304 |
+
},
|
| 305 |
+
"generation_config": {
|
| 306 |
+
"generation_args": {
|
| 307 |
+
"temperature": 0.0,
|
| 308 |
+
"top_p": 1.0,
|
| 309 |
+
"top_k": 1.0,
|
| 310 |
+
"max_tokens": 2000,
|
| 311 |
+
"max_attempts": 1
|
| 312 |
+
},
|
| 313 |
+
"additional_details": {
|
| 314 |
+
"do_sample": "false",
|
| 315 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 316 |
+
}
|
| 317 |
+
}
|
| 318 |
+
}
|
| 319 |
+
]
|
| 320 |
+
}
|
data/openeval/meta/llama-3.1-70b-instruct-turbo/a57b6942-cbe0-4684-a2dc-e9a4602d77f0.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-70b-instruct-turbo/bad3e55310cf/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-70b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-70b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-70b-instruct-turbo",
|
| 35 |
+
"model_size": "70b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "gpqa::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.gpqa.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "gpqa",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 446,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "gpqa",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.12022",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Idavidrein/gpqa",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Idavidrein/gpqa\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on gpqa.",
|
| 57 |
+
"metric_id": "openeval.gpqa.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "446",
|
| 70 |
+
"unique_sample_count": "446",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.4260089686098655,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "446",
|
| 83 |
+
"example_response_ids_json": "[\"gpqa_20260421T022756Z_0_llama-3.1-70b-instruct-turbo_0\",\"gpqa_20260421T022756Z_1_llama-3.1-70b-instruct-turbo_0\",\"gpqa_20260421T022756Z_2_llama-3.1-70b-instruct-turbo_0\",\"gpqa_20260421T022756Z_3_llama-3.1-70b-instruct-turbo_0\",\"gpqa_20260421T022756Z_4_llama-3.1-70b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.023441312195977164,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4950503230897778,
|
| 91 |
+
"num_samples": 446
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "bad3e55310cf"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-3.1-8b-instruct-turbo/9798a245-19b3-46a5-b8a6-8a605611c7e4.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-8b-instruct-turbo/9188da3bfb5d/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-8b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-8b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-8b-instruct-turbo",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "ifeval::ifeval-strict-accuracy",
|
| 41 |
+
"evaluation_name": "openeval.ifeval.ifeval-strict-accuracy",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "ifeval",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 541,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "ifeval",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2311.07911",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/IFEval",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/IFEval\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for ifeval_strict_accuracy on ifeval.",
|
| 57 |
+
"metric_id": "openeval.ifeval.ifeval-strict-accuracy",
|
| 58 |
+
"metric_name": "ifeval_strict_accuracy",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"instruction following\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "ifeval_strict_accuracy",
|
| 69 |
+
"response_count": "541",
|
| 70 |
+
"unique_sample_count": "541",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.7427603203943315,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "541",
|
| 83 |
+
"example_response_ids_json": "[\"ifeval_20260421T021146Z_0_llama-3.1-8b-instruct-turbo_0\",\"ifeval_20260421T021146Z_1_llama-3.1-8b-instruct-turbo_0\",\"ifeval_20260421T021146Z_2_llama-3.1-8b-instruct-turbo_0\",\"ifeval_20260421T021146Z_3_llama-3.1-8b-instruct-turbo_0\",\"ifeval_20260421T021146Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01617102996841404,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.37612856278071416,
|
| 91 |
+
"num_samples": 541
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "9188da3bfb5d"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-3.1-8b-instruct-turbo/a80f859a-1c51-400d-b556-4c1926a45d15.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-8b-instruct-turbo/c0e2094a2be5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-8b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-8b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-8b-instruct-turbo",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-gpt-score",
|
| 41 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "anthropic-red-teaming",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 995,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 50 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on anthropic-red-teaming.",
|
| 57 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-gpt-score",
|
| 58 |
+
"metric_name": "safety_gpt_score",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "score",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "safety_gpt_score",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "995",
|
| 71 |
+
"score_values_are_binary": "false",
|
| 72 |
+
"bounds_source": "normalized_observed_values",
|
| 73 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 74 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.94825,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3.1-8b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.00657096759352191,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.20779224026684712,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 512,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "anthropic-red-teaming::safety-llama-score",
|
| 110 |
+
"evaluation_name": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "anthropic-red-teaming",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 995,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "anthropic-red-teaming",
|
| 119 |
+
"paper_url": "https://arxiv.org/abs/2209.07858",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on anthropic-red-teaming.",
|
| 126 |
+
"metric_id": "openeval.anthropic-red-teaming.safety-llama-score",
|
| 127 |
+
"metric_name": "safety_llama_score",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "score",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "safety_llama_score",
|
| 138 |
+
"response_count": "1000",
|
| 139 |
+
"unique_sample_count": "995",
|
| 140 |
+
"score_values_are_binary": "false",
|
| 141 |
+
"bounds_source": "normalized_observed_values",
|
| 142 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 143 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.9885,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "1000",
|
| 152 |
+
"example_response_ids_json": "[\"anthropic-red-teaming_20260421T042919Z_10944_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_4449_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_28555_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_6732_llama-3.1-8b-instruct-turbo_0\",\"anthropic-red-teaming_20260421T042919Z_8855_llama-3.1-8b-instruct-turbo_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.002549362518209062,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.0806179213900312,
|
| 160 |
+
"num_samples": 1000
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 512,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "harmbench::safety-gpt-score",
|
| 179 |
+
"evaluation_name": "openeval.harmbench.safety-gpt-score",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "harmbench",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 400,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "harmbench",
|
| 188 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on harmbench.",
|
| 195 |
+
"metric_id": "openeval.harmbench.safety-gpt-score",
|
| 196 |
+
"metric_name": "safety_gpt_score",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "score",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "safety_gpt_score",
|
| 207 |
+
"response_count": "400",
|
| 208 |
+
"unique_sample_count": "400",
|
| 209 |
+
"score_values_are_binary": "false",
|
| 210 |
+
"bounds_source": "normalized_observed_values",
|
| 211 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 212 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.61625,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "400",
|
| 221 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_1_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_2_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_3_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.02250652578714713,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.4501305157429426,
|
| 229 |
+
"num_samples": 400
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 512,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "harmbench::safety-llama-score",
|
| 248 |
+
"evaluation_name": "openeval.harmbench.safety-llama-score",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "harmbench",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 400,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "harmbench",
|
| 257 |
+
"paper_url": "https://dl.acm.org/doi/10.5555/3692070.3693501",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/HarmBench",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/HarmBench\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on harmbench.",
|
| 264 |
+
"metric_id": "openeval.harmbench.safety-llama-score",
|
| 265 |
+
"metric_name": "safety_llama_score",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "score",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "safety_llama_score",
|
| 276 |
+
"response_count": "400",
|
| 277 |
+
"unique_sample_count": "400",
|
| 278 |
+
"score_values_are_binary": "false",
|
| 279 |
+
"bounds_source": "normalized_observed_values",
|
| 280 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 281 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.61625,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "400",
|
| 290 |
+
"example_response_ids_json": "[\"harmbench_20260421T041055Z_0_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_1_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_2_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_3_llama-3.1-8b-instruct-turbo_0\",\"harmbench_20260421T041055Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.02121680290627949,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.4243360581255898,
|
| 298 |
+
"num_samples": 400
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 512,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "simplesafetytests::safety-gpt-score",
|
| 317 |
+
"evaluation_name": "openeval.simplesafetytests.safety-gpt-score",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "simplesafetytests",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 100,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "simplesafetytests",
|
| 326 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 327 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on simplesafetytests.",
|
| 333 |
+
"metric_id": "openeval.simplesafetytests.safety-gpt-score",
|
| 334 |
+
"metric_name": "safety_gpt_score",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "safety_gpt_score",
|
| 345 |
+
"response_count": "100",
|
| 346 |
+
"unique_sample_count": "100",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 350 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.98,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "100",
|
| 359 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_1_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_2_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_3_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.014070529413628968,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.14070529413628968,
|
| 367 |
+
"num_samples": 100
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 512,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "simplesafetytests::safety-llama-score",
|
| 386 |
+
"evaluation_name": "openeval.simplesafetytests.safety-llama-score",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "simplesafetytests",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 100,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "simplesafetytests",
|
| 395 |
+
"paper_url": "https://arxiv.org/abs/2311.08370",
|
| 396 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/SimpleSafetyTests",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/SimpleSafetyTests\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on simplesafetytests.",
|
| 402 |
+
"metric_id": "openeval.simplesafetytests.safety-llama-score",
|
| 403 |
+
"metric_name": "safety_llama_score",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "score",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "safety_llama_score",
|
| 414 |
+
"response_count": "100",
|
| 415 |
+
"unique_sample_count": "100",
|
| 416 |
+
"score_values_are_binary": "false",
|
| 417 |
+
"bounds_source": "normalized_observed_values",
|
| 418 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 419 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.995,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.5",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "100",
|
| 428 |
+
"example_response_ids_json": "[\"simplesafetytests_20260421T041445Z_0_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_1_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_2_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_3_llama-3.1-8b-instruct-turbo_0\",\"simplesafetytests_20260421T041445Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.005,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.05,
|
| 436 |
+
"num_samples": 100
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 512,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "xstest::safety-gpt-score",
|
| 455 |
+
"evaluation_name": "openeval.xstest.safety-gpt-score",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "xstest",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 450,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "xstest",
|
| 464 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 465 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for safety_gpt_score on xstest.",
|
| 471 |
+
"metric_id": "openeval.xstest.safety-gpt-score",
|
| 472 |
+
"metric_name": "safety_gpt_score",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "score",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "safety_gpt_score",
|
| 483 |
+
"response_count": "450",
|
| 484 |
+
"unique_sample_count": "450",
|
| 485 |
+
"score_values_are_binary": "false",
|
| 486 |
+
"bounds_source": "normalized_observed_values",
|
| 487 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 488 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9311111111111111,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "450",
|
| 497 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_1_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_2_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_3_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.011743451727361732,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.2491162305286307,
|
| 505 |
+
"num_samples": 450
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 512,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "xstest::safety-llama-score",
|
| 524 |
+
"evaluation_name": "openeval.xstest.safety-llama-score",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "xstest",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 450,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "xstest",
|
| 533 |
+
"paper_url": "https://aclanthology.org/2024.naacl-long.301/",
|
| 534 |
+
"dataset_url": "https://huggingface.co/datasets/walledai/XSTest",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/walledai/XSTest\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for safety_llama_score on xstest.",
|
| 540 |
+
"metric_id": "openeval.xstest.safety-llama-score",
|
| 541 |
+
"metric_name": "safety_llama_score",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "score",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"safety\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "safety_llama_score",
|
| 552 |
+
"response_count": "450",
|
| 553 |
+
"unique_sample_count": "450",
|
| 554 |
+
"score_values_are_binary": "false",
|
| 555 |
+
"bounds_source": "normalized_observed_values",
|
| 556 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 557 |
+
"extra_artifact_types_json": "[\"evaluation_success\",\"evaluation_template\",\"model_reasoning\"]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9755555555555555,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "450",
|
| 566 |
+
"example_response_ids_json": "[\"xstest_20260421T040447Z_0_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_1_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_2_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_3_llama-3.1-8b-instruct-turbo_0\",\"xstest_20260421T040447Z_4_llama-3.1-8b-instruct-turbo_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.0071159350131701615,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.15095177706886218,
|
| 574 |
+
"num_samples": 450
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 512,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "c0e2094a2be5"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|
data/openeval/meta/llama-3.1-8b-instruct-turbo/b24fadd6-6a11-4324-994f-ccda7a869eb1.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-8b-instruct-turbo/975c068c45b0/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-8b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-8b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-8b-instruct-turbo",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "mmlu-pro::chain-of-thought-correctness",
|
| 41 |
+
"evaluation_name": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "mmlu-pro",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 998,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "mmlu-pro",
|
| 50 |
+
"paper_url": "https://neurips.cc/virtual/2024/poster/97435",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for chain_of_thought_correctness on mmlu-pro.",
|
| 57 |
+
"metric_id": "openeval.mmlu-pro.chain-of-thought-correctness",
|
| 58 |
+
"metric_name": "chain_of_thought_correctness",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"knowledge\",\"multiple_choice\",\"reasoning\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "chain_of_thought_correctness",
|
| 69 |
+
"response_count": "1000",
|
| 70 |
+
"unique_sample_count": "998",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.406,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "1000",
|
| 83 |
+
"example_response_ids_json": "[\"mmlu-pro_20260421T014755Z_8416_llama-3.1-8b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_1570_llama-3.1-8b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_6943_llama-3.1-8b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_6058_llama-3.1-8b-instruct-turbo_0\",\"mmlu-pro_20260421T014755Z_10267_llama-3.1-8b-instruct-turbo_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.01553722643863458,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.4913302406787164,
|
| 91 |
+
"num_samples": 1000
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 5.0,
|
| 99 |
+
"max_tokens": 4096,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "true",
|
| 104 |
+
"generation_config_hash": "975c068c45b0"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
]
|
| 109 |
+
}
|
data/openeval/meta/llama-3.1-8b-instruct-turbo/c2411cae-d7e8-4311-a128-09bb49802562.json
ADDED
|
@@ -0,0 +1,320 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-3.1-8b-instruct-turbo/03d0365ba4cc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-3.1-8b-instruct-turbo",
|
| 31 |
+
"id": "meta/llama-3.1-8b-instruct-turbo",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-3.1-8b-instruct-turbo",
|
| 35 |
+
"model_size": "8b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "wildbench::claude-score",
|
| 41 |
+
"evaluation_name": "openeval.wildbench.claude-score",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "wildbench",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 1000,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "wildbench",
|
| 50 |
+
"benchmark_version": "v2",
|
| 51 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 52 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 53 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"metric_config": {
|
| 57 |
+
"evaluation_description": "Mean OpenEval score for claude_score on wildbench.",
|
| 58 |
+
"metric_id": "openeval.wildbench.claude-score",
|
| 59 |
+
"metric_name": "claude_score",
|
| 60 |
+
"metric_kind": "benchmark_score",
|
| 61 |
+
"metric_unit": "points",
|
| 62 |
+
"lower_is_better": false,
|
| 63 |
+
"score_type": "continuous",
|
| 64 |
+
"min_score": -1.0,
|
| 65 |
+
"max_score": 10.0,
|
| 66 |
+
"additional_details": {
|
| 67 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 68 |
+
"aggregation": "mean",
|
| 69 |
+
"raw_metric_name": "claude_score",
|
| 70 |
+
"response_count": "1000",
|
| 71 |
+
"unique_sample_count": "1000",
|
| 72 |
+
"score_values_are_binary": "false",
|
| 73 |
+
"bounds_source": "observed_values",
|
| 74 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\"]",
|
| 75 |
+
"extra_artifact_types_json": "[\"claude_strengths\",\"claude_weaknesses\",\"evaluation_template\"]"
|
| 76 |
+
}
|
| 77 |
+
},
|
| 78 |
+
"score_details": {
|
| 79 |
+
"score": 7.115,
|
| 80 |
+
"details": {
|
| 81 |
+
"min_instance_score": "-1.0",
|
| 82 |
+
"max_instance_score": "10.0",
|
| 83 |
+
"response_count": "1000",
|
| 84 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-8b-instruct-turbo_0\"]"
|
| 85 |
+
},
|
| 86 |
+
"uncertainty": {
|
| 87 |
+
"standard_error": {
|
| 88 |
+
"value": 0.05246453590309865,
|
| 89 |
+
"method": "analytic"
|
| 90 |
+
},
|
| 91 |
+
"standard_deviation": 1.6590742983747073,
|
| 92 |
+
"num_samples": 1000
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"generation_config": {
|
| 96 |
+
"generation_args": {
|
| 97 |
+
"temperature": 0.0,
|
| 98 |
+
"top_p": 1.0,
|
| 99 |
+
"top_k": 1.0,
|
| 100 |
+
"max_tokens": 2000,
|
| 101 |
+
"max_attempts": 1
|
| 102 |
+
},
|
| 103 |
+
"additional_details": {
|
| 104 |
+
"do_sample": "false",
|
| 105 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 106 |
+
}
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"evaluation_result_id": "wildbench::gpt-score",
|
| 111 |
+
"evaluation_name": "openeval.wildbench.gpt-score",
|
| 112 |
+
"source_data": {
|
| 113 |
+
"dataset_name": "wildbench",
|
| 114 |
+
"source_type": "hf_dataset",
|
| 115 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 116 |
+
"hf_split": "train",
|
| 117 |
+
"samples_number": 1000,
|
| 118 |
+
"additional_details": {
|
| 119 |
+
"benchmark_name": "wildbench",
|
| 120 |
+
"benchmark_version": "v2",
|
| 121 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 122 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 123 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
"metric_config": {
|
| 127 |
+
"evaluation_description": "Mean OpenEval score for gpt_score on wildbench.",
|
| 128 |
+
"metric_id": "openeval.wildbench.gpt-score",
|
| 129 |
+
"metric_name": "gpt_score",
|
| 130 |
+
"metric_kind": "benchmark_score",
|
| 131 |
+
"metric_unit": "points",
|
| 132 |
+
"lower_is_better": false,
|
| 133 |
+
"score_type": "continuous",
|
| 134 |
+
"min_score": -1.0,
|
| 135 |
+
"max_score": 10.0,
|
| 136 |
+
"additional_details": {
|
| 137 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 138 |
+
"aggregation": "mean",
|
| 139 |
+
"raw_metric_name": "gpt_score",
|
| 140 |
+
"response_count": "1000",
|
| 141 |
+
"unique_sample_count": "1000",
|
| 142 |
+
"score_values_are_binary": "false",
|
| 143 |
+
"bounds_source": "observed_values",
|
| 144 |
+
"metric_models_json": "[\"openai/gpt-4o-2024-05-13\"]",
|
| 145 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"gpt_strengths\",\"gpt_weaknesses\"]"
|
| 146 |
+
}
|
| 147 |
+
},
|
| 148 |
+
"score_details": {
|
| 149 |
+
"score": 6.713,
|
| 150 |
+
"details": {
|
| 151 |
+
"min_instance_score": "-1.0",
|
| 152 |
+
"max_instance_score": "10.0",
|
| 153 |
+
"response_count": "1000",
|
| 154 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-8b-instruct-turbo_0\"]"
|
| 155 |
+
},
|
| 156 |
+
"uncertainty": {
|
| 157 |
+
"standard_error": {
|
| 158 |
+
"value": 0.06473655707420516,
|
| 159 |
+
"method": "analytic"
|
| 160 |
+
},
|
| 161 |
+
"standard_deviation": 2.047149682319742,
|
| 162 |
+
"num_samples": 1000
|
| 163 |
+
}
|
| 164 |
+
},
|
| 165 |
+
"generation_config": {
|
| 166 |
+
"generation_args": {
|
| 167 |
+
"temperature": 0.0,
|
| 168 |
+
"top_p": 1.0,
|
| 169 |
+
"top_k": 1.0,
|
| 170 |
+
"max_tokens": 2000,
|
| 171 |
+
"max_attempts": 1
|
| 172 |
+
},
|
| 173 |
+
"additional_details": {
|
| 174 |
+
"do_sample": "false",
|
| 175 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 176 |
+
}
|
| 177 |
+
}
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"evaluation_result_id": "wildbench::llama-score",
|
| 181 |
+
"evaluation_name": "openeval.wildbench.llama-score",
|
| 182 |
+
"source_data": {
|
| 183 |
+
"dataset_name": "wildbench",
|
| 184 |
+
"source_type": "hf_dataset",
|
| 185 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 186 |
+
"hf_split": "train",
|
| 187 |
+
"samples_number": 1000,
|
| 188 |
+
"additional_details": {
|
| 189 |
+
"benchmark_name": "wildbench",
|
| 190 |
+
"benchmark_version": "v2",
|
| 191 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 192 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 193 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 194 |
+
}
|
| 195 |
+
},
|
| 196 |
+
"metric_config": {
|
| 197 |
+
"evaluation_description": "Mean OpenEval score for llama_score on wildbench.",
|
| 198 |
+
"metric_id": "openeval.wildbench.llama-score",
|
| 199 |
+
"metric_name": "llama_score",
|
| 200 |
+
"metric_kind": "benchmark_score",
|
| 201 |
+
"metric_unit": "points",
|
| 202 |
+
"lower_is_better": false,
|
| 203 |
+
"score_type": "continuous",
|
| 204 |
+
"min_score": 0.0,
|
| 205 |
+
"max_score": 10.0,
|
| 206 |
+
"additional_details": {
|
| 207 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 208 |
+
"aggregation": "mean",
|
| 209 |
+
"raw_metric_name": "llama_score",
|
| 210 |
+
"response_count": "1000",
|
| 211 |
+
"unique_sample_count": "1000",
|
| 212 |
+
"score_values_are_binary": "false",
|
| 213 |
+
"bounds_source": "observed_values",
|
| 214 |
+
"metric_models_json": "[\"meta/llama-3.1-405b-instruct-turbo\"]",
|
| 215 |
+
"extra_artifact_types_json": "[\"evaluation_template\",\"llama_strengths\",\"llama_weaknesses\"]"
|
| 216 |
+
}
|
| 217 |
+
},
|
| 218 |
+
"score_details": {
|
| 219 |
+
"score": 7.6705,
|
| 220 |
+
"details": {
|
| 221 |
+
"min_instance_score": "1.0",
|
| 222 |
+
"max_instance_score": "10.0",
|
| 223 |
+
"response_count": "1000",
|
| 224 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-8b-instruct-turbo_0\"]"
|
| 225 |
+
},
|
| 226 |
+
"uncertainty": {
|
| 227 |
+
"standard_error": {
|
| 228 |
+
"value": 0.05440256785657631,
|
| 229 |
+
"method": "analytic"
|
| 230 |
+
},
|
| 231 |
+
"standard_deviation": 1.720360249886456,
|
| 232 |
+
"num_samples": 1000
|
| 233 |
+
}
|
| 234 |
+
},
|
| 235 |
+
"generation_config": {
|
| 236 |
+
"generation_args": {
|
| 237 |
+
"temperature": 0.0,
|
| 238 |
+
"top_p": 1.0,
|
| 239 |
+
"top_k": 1.0,
|
| 240 |
+
"max_tokens": 2000,
|
| 241 |
+
"max_attempts": 1
|
| 242 |
+
},
|
| 243 |
+
"additional_details": {
|
| 244 |
+
"do_sample": "false",
|
| 245 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 246 |
+
}
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"evaluation_result_id": "wildbench::wildbench-score-rescaled",
|
| 251 |
+
"evaluation_name": "openeval.wildbench.wildbench-score-rescaled",
|
| 252 |
+
"source_data": {
|
| 253 |
+
"dataset_name": "wildbench",
|
| 254 |
+
"source_type": "hf_dataset",
|
| 255 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 256 |
+
"hf_split": "train",
|
| 257 |
+
"samples_number": 1000,
|
| 258 |
+
"additional_details": {
|
| 259 |
+
"benchmark_name": "wildbench",
|
| 260 |
+
"benchmark_version": "v2",
|
| 261 |
+
"paper_url": "https://iclr.cc/virtual/2025/poster/29940",
|
| 262 |
+
"dataset_url": "https://huggingface.co/datasets/allenai/WildBench",
|
| 263 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/allenai/WildBench\"]"
|
| 264 |
+
}
|
| 265 |
+
},
|
| 266 |
+
"metric_config": {
|
| 267 |
+
"evaluation_description": "Mean OpenEval score for wildbench_score_rescaled on wildbench.",
|
| 268 |
+
"metric_id": "openeval.wildbench.wildbench-score-rescaled",
|
| 269 |
+
"metric_name": "wildbench_score_rescaled",
|
| 270 |
+
"metric_kind": "benchmark_score",
|
| 271 |
+
"metric_unit": "score",
|
| 272 |
+
"lower_is_better": false,
|
| 273 |
+
"score_type": "continuous",
|
| 274 |
+
"min_score": 0.0,
|
| 275 |
+
"max_score": 1.0,
|
| 276 |
+
"additional_details": {
|
| 277 |
+
"benchmark_tags_json": "[\"conversation\",\"real-world\"]",
|
| 278 |
+
"aggregation": "mean",
|
| 279 |
+
"raw_metric_name": "wildbench_score_rescaled",
|
| 280 |
+
"response_count": "1000",
|
| 281 |
+
"unique_sample_count": "1000",
|
| 282 |
+
"score_values_are_binary": "false",
|
| 283 |
+
"bounds_source": "normalized_observed_values",
|
| 284 |
+
"metric_models_json": "[\"anthropic/claude-3-5-sonnet-20241022\",\"meta/llama-3.1-405b-instruct-turbo\",\"openai/gpt-4o-2024-05-13\"]",
|
| 285 |
+
"extra_artifact_types_json": "[]"
|
| 286 |
+
}
|
| 287 |
+
},
|
| 288 |
+
"score_details": {
|
| 289 |
+
"score": 0.6864814814814815,
|
| 290 |
+
"details": {
|
| 291 |
+
"min_instance_score": "0.0",
|
| 292 |
+
"max_instance_score": "0.9629629629629629",
|
| 293 |
+
"response_count": "1000",
|
| 294 |
+
"example_response_ids_json": "[\"wildbench_20260421T015543Z_927_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_27_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_77_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_609_llama-3.1-8b-instruct-turbo_0\",\"wildbench_20260421T015543Z_320_llama-3.1-8b-instruct-turbo_0\"]"
|
| 295 |
+
},
|
| 296 |
+
"uncertainty": {
|
| 297 |
+
"standard_error": {
|
| 298 |
+
"value": 0.005689481170083653,
|
| 299 |
+
"method": "analytic"
|
| 300 |
+
},
|
| 301 |
+
"standard_deviation": 0.17991719202104187,
|
| 302 |
+
"num_samples": 1000
|
| 303 |
+
}
|
| 304 |
+
},
|
| 305 |
+
"generation_config": {
|
| 306 |
+
"generation_args": {
|
| 307 |
+
"temperature": 0.0,
|
| 308 |
+
"top_p": 1.0,
|
| 309 |
+
"top_k": 1.0,
|
| 310 |
+
"max_tokens": 2000,
|
| 311 |
+
"max_attempts": 1
|
| 312 |
+
},
|
| 313 |
+
"additional_details": {
|
| 314 |
+
"do_sample": "false",
|
| 315 |
+
"generation_config_hash": "03d0365ba4cc"
|
| 316 |
+
}
|
| 317 |
+
}
|
| 318 |
+
}
|
| 319 |
+
]
|
| 320 |
+
}
|
data/openeval/meta/llama-3.2-3b-instruct/2bbdcc90-4fc1-45fe-b3e6-f43e189fa83e.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-3.2-3B-Instruct/8ba36588df9e/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-3.2-3B-Instruct",
|
| 31 |
+
"id": "meta/Llama-3.2-3B-Instruct",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-3.2-3B-Instruct",
|
| 35 |
+
"model_size": "3b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "hi-tom::quasi-prefix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "hi-tom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 600,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "hi-tom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2023.findings-emnlp.717/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/Hi-ToM/Hi-ToM_Dataset\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on hi-tom.",
|
| 57 |
+
"metric_id": "openeval.hi-tom.quasi-prefix-exact-match",
|
| 58 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 69 |
+
"response_count": "600",
|
| 70 |
+
"unique_sample_count": "600",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.18166666666666667,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "600",
|
| 83 |
+
"example_response_ids_json": "[\"hi-tom_20260309T011341Z_0_llama-3.2-3b-instruct_0\",\"hi-tom_20260309T011341Z_1_llama-3.2-3b-instruct_0\",\"hi-tom_20260309T011341Z_2_llama-3.2-3b-instruct_0\",\"hi-tom_20260309T011341Z_3_llama-3.2-3b-instruct_0\",\"hi-tom_20260309T011341Z_4_llama-3.2-3b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.015753945309122396,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.3858912744306247,
|
| 91 |
+
"num_samples": 600
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 1.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 2048,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "true",
|
| 103 |
+
"generation_config_hash": "8ba36588df9e"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/llama-3.2-3b-instruct/fc2fc975-4d20-4ffe-a7ec-117c4ad5571f.json
ADDED
|
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_Llama-3.2-3B-Instruct/758f5aa8b9a5/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "Llama-3.2-3B-Instruct",
|
| 31 |
+
"id": "meta/Llama-3.2-3B-Instruct",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "Llama-3.2-3B-Instruct",
|
| 35 |
+
"model_size": "3b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "opentom::quasi-postfix-exact-match",
|
| 41 |
+
"evaluation_name": "openeval.opentom.quasi-postfix-exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "opentom",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 4789,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "opentom",
|
| 50 |
+
"paper_url": "https://aclanthology.org/2024.acl-long.466/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/SeacowX/OpenToM",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/SeacowX/OpenToM\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for quasi_postfix_exact_match on opentom.",
|
| 57 |
+
"metric_id": "openeval.opentom.quasi-postfix-exact-match",
|
| 58 |
+
"metric_name": "quasi_postfix_exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"reasoning\",\"theory of mind\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "quasi_postfix_exact_match",
|
| 69 |
+
"response_count": "6500",
|
| 70 |
+
"unique_sample_count": "4789",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.5250769230769231,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "6500",
|
| 83 |
+
"example_response_ids_json": "[\"opentom_20260309T175802Z_15092_llama-3.2-3b-instruct_0\",\"opentom_20260309T175802Z_15093_llama-3.2-3b-instruct_0\",\"opentom_20260309T175802Z_15292_llama-3.2-3b-instruct_0\",\"opentom_20260309T175802Z_15293_llama-3.2-3b-instruct_0\",\"opentom_20260309T175802Z_14060_llama-3.2-3b-instruct_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.0061944083795749845,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.49940916954353876,
|
| 91 |
+
"num_samples": 6500
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 0.95,
|
| 98 |
+
"max_tokens": 4096,
|
| 99 |
+
"max_attempts": 1
|
| 100 |
+
},
|
| 101 |
+
"additional_details": {
|
| 102 |
+
"do_sample": "false",
|
| 103 |
+
"generation_config_hash": "758f5aa8b9a5"
|
| 104 |
+
}
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
]
|
| 108 |
+
}
|
data/openeval/meta/llama-30b/0f300341-83a0-4527-815a-0c4c6d1d18be.json
ADDED
|
@@ -0,0 +1,592 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "openeval/meta_llama-30b/b73f2fac07cc/1783223155.703082",
|
| 4 |
+
"retrieved_timestamp": "1783223155.703082",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "OpenEval",
|
| 7 |
+
"source_type": "evaluation_run",
|
| 8 |
+
"source_organization_name": "Human-Centered Eval",
|
| 9 |
+
"source_organization_url": "https://open-eval.github.io/",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 13 |
+
"hf_dataset_url": "https://huggingface.co/datasets/human-centered-eval/OpenEval",
|
| 14 |
+
"github_url": "https://github.com/open-eval/OpenEval",
|
| 15 |
+
"hf_revision": "main",
|
| 16 |
+
"hf_commit": "91a9a3a78257a4b4c04e45f5a493796f8a2966b1",
|
| 17 |
+
"downloaded_response_shards": "118",
|
| 18 |
+
"total_response_shards": "118",
|
| 19 |
+
"include_instances": "false",
|
| 20 |
+
"partial_export": "false",
|
| 21 |
+
"allow_unknown_benchmark": "false",
|
| 22 |
+
"source_role": "aggregator"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"eval_library": {
|
| 26 |
+
"name": "OpenEval",
|
| 27 |
+
"version": "unknown"
|
| 28 |
+
},
|
| 29 |
+
"model_info": {
|
| 30 |
+
"name": "llama-30b",
|
| 31 |
+
"id": "meta/llama-30b",
|
| 32 |
+
"developer": "meta",
|
| 33 |
+
"additional_details": {
|
| 34 |
+
"raw_model_name": "llama-30b",
|
| 35 |
+
"model_size": "30b"
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"evaluation_results": [
|
| 39 |
+
{
|
| 40 |
+
"evaluation_result_id": "boolq::exact-match",
|
| 41 |
+
"evaluation_name": "openeval.boolq.exact-match",
|
| 42 |
+
"source_data": {
|
| 43 |
+
"dataset_name": "boolq",
|
| 44 |
+
"source_type": "hf_dataset",
|
| 45 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 46 |
+
"hf_split": "train",
|
| 47 |
+
"samples_number": 64,
|
| 48 |
+
"additional_details": {
|
| 49 |
+
"benchmark_name": "boolq",
|
| 50 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 51 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 52 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"metric_config": {
|
| 56 |
+
"evaluation_description": "Mean OpenEval score for exact_match on boolq.",
|
| 57 |
+
"metric_id": "openeval.boolq.exact-match",
|
| 58 |
+
"metric_name": "exact_match",
|
| 59 |
+
"metric_kind": "benchmark_score",
|
| 60 |
+
"metric_unit": "proportion",
|
| 61 |
+
"lower_is_better": false,
|
| 62 |
+
"score_type": "continuous",
|
| 63 |
+
"min_score": 0.0,
|
| 64 |
+
"max_score": 1.0,
|
| 65 |
+
"additional_details": {
|
| 66 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 67 |
+
"aggregation": "mean",
|
| 68 |
+
"raw_metric_name": "exact_match",
|
| 69 |
+
"response_count": "64",
|
| 70 |
+
"unique_sample_count": "64",
|
| 71 |
+
"score_values_are_binary": "true",
|
| 72 |
+
"bounds_source": "binary_values",
|
| 73 |
+
"metric_models_json": "[]",
|
| 74 |
+
"extra_artifact_types_json": "[]"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"score_details": {
|
| 78 |
+
"score": 0.828125,
|
| 79 |
+
"details": {
|
| 80 |
+
"min_instance_score": "0.0",
|
| 81 |
+
"max_instance_score": "1.0",
|
| 82 |
+
"response_count": "64",
|
| 83 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-30b_0\",\"boolq_20260304T232244Z_1_llama-30b_0\",\"boolq_20260304T232244Z_2_llama-30b_0\",\"boolq_20260304T232244Z_3_llama-30b_0\",\"boolq_20260304T232244Z_4_llama-30b_0\"]"
|
| 84 |
+
},
|
| 85 |
+
"uncertainty": {
|
| 86 |
+
"standard_error": {
|
| 87 |
+
"value": 0.04753177456453702,
|
| 88 |
+
"method": "analytic"
|
| 89 |
+
},
|
| 90 |
+
"standard_deviation": 0.38025419651629616,
|
| 91 |
+
"num_samples": 64
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
"generation_config": {
|
| 95 |
+
"generation_args": {
|
| 96 |
+
"temperature": 0.0,
|
| 97 |
+
"top_p": 1.0,
|
| 98 |
+
"top_k": 1.0,
|
| 99 |
+
"max_tokens": 5,
|
| 100 |
+
"max_attempts": 1
|
| 101 |
+
},
|
| 102 |
+
"additional_details": {
|
| 103 |
+
"do_sample": "false",
|
| 104 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"evaluation_result_id": "boolq::prefix-exact-match",
|
| 110 |
+
"evaluation_name": "openeval.boolq.prefix-exact-match",
|
| 111 |
+
"source_data": {
|
| 112 |
+
"dataset_name": "boolq",
|
| 113 |
+
"source_type": "hf_dataset",
|
| 114 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 115 |
+
"hf_split": "train",
|
| 116 |
+
"samples_number": 64,
|
| 117 |
+
"additional_details": {
|
| 118 |
+
"benchmark_name": "boolq",
|
| 119 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 120 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 121 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 122 |
+
}
|
| 123 |
+
},
|
| 124 |
+
"metric_config": {
|
| 125 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on boolq.",
|
| 126 |
+
"metric_id": "openeval.boolq.prefix-exact-match",
|
| 127 |
+
"metric_name": "prefix_exact_match",
|
| 128 |
+
"metric_kind": "benchmark_score",
|
| 129 |
+
"metric_unit": "proportion",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0,
|
| 134 |
+
"additional_details": {
|
| 135 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 136 |
+
"aggregation": "mean",
|
| 137 |
+
"raw_metric_name": "prefix_exact_match",
|
| 138 |
+
"response_count": "64",
|
| 139 |
+
"unique_sample_count": "64",
|
| 140 |
+
"score_values_are_binary": "true",
|
| 141 |
+
"bounds_source": "binary_values",
|
| 142 |
+
"metric_models_json": "[]",
|
| 143 |
+
"extra_artifact_types_json": "[]"
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
"score_details": {
|
| 147 |
+
"score": 0.828125,
|
| 148 |
+
"details": {
|
| 149 |
+
"min_instance_score": "0.0",
|
| 150 |
+
"max_instance_score": "1.0",
|
| 151 |
+
"response_count": "64",
|
| 152 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-30b_0\",\"boolq_20260304T232244Z_1_llama-30b_0\",\"boolq_20260304T232244Z_2_llama-30b_0\",\"boolq_20260304T232244Z_3_llama-30b_0\",\"boolq_20260304T232244Z_4_llama-30b_0\"]"
|
| 153 |
+
},
|
| 154 |
+
"uncertainty": {
|
| 155 |
+
"standard_error": {
|
| 156 |
+
"value": 0.04753177456453702,
|
| 157 |
+
"method": "analytic"
|
| 158 |
+
},
|
| 159 |
+
"standard_deviation": 0.38025419651629616,
|
| 160 |
+
"num_samples": 64
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"generation_config": {
|
| 164 |
+
"generation_args": {
|
| 165 |
+
"temperature": 0.0,
|
| 166 |
+
"top_p": 1.0,
|
| 167 |
+
"top_k": 1.0,
|
| 168 |
+
"max_tokens": 5,
|
| 169 |
+
"max_attempts": 1
|
| 170 |
+
},
|
| 171 |
+
"additional_details": {
|
| 172 |
+
"do_sample": "false",
|
| 173 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 174 |
+
}
|
| 175 |
+
}
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"evaluation_result_id": "boolq::quasi-exact-match",
|
| 179 |
+
"evaluation_name": "openeval.boolq.quasi-exact-match",
|
| 180 |
+
"source_data": {
|
| 181 |
+
"dataset_name": "boolq",
|
| 182 |
+
"source_type": "hf_dataset",
|
| 183 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 184 |
+
"hf_split": "train",
|
| 185 |
+
"samples_number": 64,
|
| 186 |
+
"additional_details": {
|
| 187 |
+
"benchmark_name": "boolq",
|
| 188 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 189 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 190 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 191 |
+
}
|
| 192 |
+
},
|
| 193 |
+
"metric_config": {
|
| 194 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on boolq.",
|
| 195 |
+
"metric_id": "openeval.boolq.quasi-exact-match",
|
| 196 |
+
"metric_name": "quasi_exact_match",
|
| 197 |
+
"metric_kind": "benchmark_score",
|
| 198 |
+
"metric_unit": "proportion",
|
| 199 |
+
"lower_is_better": false,
|
| 200 |
+
"score_type": "continuous",
|
| 201 |
+
"min_score": 0.0,
|
| 202 |
+
"max_score": 1.0,
|
| 203 |
+
"additional_details": {
|
| 204 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 205 |
+
"aggregation": "mean",
|
| 206 |
+
"raw_metric_name": "quasi_exact_match",
|
| 207 |
+
"response_count": "64",
|
| 208 |
+
"unique_sample_count": "64",
|
| 209 |
+
"score_values_are_binary": "true",
|
| 210 |
+
"bounds_source": "binary_values",
|
| 211 |
+
"metric_models_json": "[]",
|
| 212 |
+
"extra_artifact_types_json": "[]"
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"score_details": {
|
| 216 |
+
"score": 0.828125,
|
| 217 |
+
"details": {
|
| 218 |
+
"min_instance_score": "0.0",
|
| 219 |
+
"max_instance_score": "1.0",
|
| 220 |
+
"response_count": "64",
|
| 221 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-30b_0\",\"boolq_20260304T232244Z_1_llama-30b_0\",\"boolq_20260304T232244Z_2_llama-30b_0\",\"boolq_20260304T232244Z_3_llama-30b_0\",\"boolq_20260304T232244Z_4_llama-30b_0\"]"
|
| 222 |
+
},
|
| 223 |
+
"uncertainty": {
|
| 224 |
+
"standard_error": {
|
| 225 |
+
"value": 0.04753177456453702,
|
| 226 |
+
"method": "analytic"
|
| 227 |
+
},
|
| 228 |
+
"standard_deviation": 0.38025419651629616,
|
| 229 |
+
"num_samples": 64
|
| 230 |
+
}
|
| 231 |
+
},
|
| 232 |
+
"generation_config": {
|
| 233 |
+
"generation_args": {
|
| 234 |
+
"temperature": 0.0,
|
| 235 |
+
"top_p": 1.0,
|
| 236 |
+
"top_k": 1.0,
|
| 237 |
+
"max_tokens": 5,
|
| 238 |
+
"max_attempts": 1
|
| 239 |
+
},
|
| 240 |
+
"additional_details": {
|
| 241 |
+
"do_sample": "false",
|
| 242 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 243 |
+
}
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"evaluation_result_id": "boolq::quasi-prefix-exact-match",
|
| 248 |
+
"evaluation_name": "openeval.boolq.quasi-prefix-exact-match",
|
| 249 |
+
"source_data": {
|
| 250 |
+
"dataset_name": "boolq",
|
| 251 |
+
"source_type": "hf_dataset",
|
| 252 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 253 |
+
"hf_split": "train",
|
| 254 |
+
"samples_number": 64,
|
| 255 |
+
"additional_details": {
|
| 256 |
+
"benchmark_name": "boolq",
|
| 257 |
+
"paper_url": "https://aclanthology.org/N19-1300/",
|
| 258 |
+
"dataset_url": "https://huggingface.co/datasets/google/boolq",
|
| 259 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://huggingface.co/datasets/google/boolq\"]"
|
| 260 |
+
}
|
| 261 |
+
},
|
| 262 |
+
"metric_config": {
|
| 263 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on boolq.",
|
| 264 |
+
"metric_id": "openeval.boolq.quasi-prefix-exact-match",
|
| 265 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 266 |
+
"metric_kind": "benchmark_score",
|
| 267 |
+
"metric_unit": "proportion",
|
| 268 |
+
"lower_is_better": false,
|
| 269 |
+
"score_type": "continuous",
|
| 270 |
+
"min_score": 0.0,
|
| 271 |
+
"max_score": 1.0,
|
| 272 |
+
"additional_details": {
|
| 273 |
+
"benchmark_tags_json": "[\"question_answering\"]",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 276 |
+
"response_count": "64",
|
| 277 |
+
"unique_sample_count": "64",
|
| 278 |
+
"score_values_are_binary": "true",
|
| 279 |
+
"bounds_source": "binary_values",
|
| 280 |
+
"metric_models_json": "[]",
|
| 281 |
+
"extra_artifact_types_json": "[]"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"score_details": {
|
| 285 |
+
"score": 0.828125,
|
| 286 |
+
"details": {
|
| 287 |
+
"min_instance_score": "0.0",
|
| 288 |
+
"max_instance_score": "1.0",
|
| 289 |
+
"response_count": "64",
|
| 290 |
+
"example_response_ids_json": "[\"boolq_20260304T232244Z_0_llama-30b_0\",\"boolq_20260304T232244Z_1_llama-30b_0\",\"boolq_20260304T232244Z_2_llama-30b_0\",\"boolq_20260304T232244Z_3_llama-30b_0\",\"boolq_20260304T232244Z_4_llama-30b_0\"]"
|
| 291 |
+
},
|
| 292 |
+
"uncertainty": {
|
| 293 |
+
"standard_error": {
|
| 294 |
+
"value": 0.04753177456453702,
|
| 295 |
+
"method": "analytic"
|
| 296 |
+
},
|
| 297 |
+
"standard_deviation": 0.38025419651629616,
|
| 298 |
+
"num_samples": 64
|
| 299 |
+
}
|
| 300 |
+
},
|
| 301 |
+
"generation_config": {
|
| 302 |
+
"generation_args": {
|
| 303 |
+
"temperature": 0.0,
|
| 304 |
+
"top_p": 1.0,
|
| 305 |
+
"top_k": 1.0,
|
| 306 |
+
"max_tokens": 5,
|
| 307 |
+
"max_attempts": 1
|
| 308 |
+
},
|
| 309 |
+
"additional_details": {
|
| 310 |
+
"do_sample": "false",
|
| 311 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 312 |
+
}
|
| 313 |
+
}
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"evaluation_result_id": "imdb::exact-match",
|
| 317 |
+
"evaluation_name": "openeval.imdb.exact-match",
|
| 318 |
+
"source_data": {
|
| 319 |
+
"dataset_name": "imdb",
|
| 320 |
+
"source_type": "hf_dataset",
|
| 321 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 322 |
+
"hf_split": "train",
|
| 323 |
+
"samples_number": 352,
|
| 324 |
+
"additional_details": {
|
| 325 |
+
"benchmark_name": "imdb",
|
| 326 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 327 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 328 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 329 |
+
}
|
| 330 |
+
},
|
| 331 |
+
"metric_config": {
|
| 332 |
+
"evaluation_description": "Mean OpenEval score for exact_match on imdb.",
|
| 333 |
+
"metric_id": "openeval.imdb.exact-match",
|
| 334 |
+
"metric_name": "exact_match",
|
| 335 |
+
"metric_kind": "benchmark_score",
|
| 336 |
+
"metric_unit": "proportion",
|
| 337 |
+
"lower_is_better": false,
|
| 338 |
+
"score_type": "continuous",
|
| 339 |
+
"min_score": 0.0,
|
| 340 |
+
"max_score": 1.0,
|
| 341 |
+
"additional_details": {
|
| 342 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 343 |
+
"aggregation": "mean",
|
| 344 |
+
"raw_metric_name": "exact_match",
|
| 345 |
+
"response_count": "352",
|
| 346 |
+
"unique_sample_count": "352",
|
| 347 |
+
"score_values_are_binary": "true",
|
| 348 |
+
"bounds_source": "binary_values",
|
| 349 |
+
"metric_models_json": "[]",
|
| 350 |
+
"extra_artifact_types_json": "[]"
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"score_details": {
|
| 354 |
+
"score": 0.9460227272727273,
|
| 355 |
+
"details": {
|
| 356 |
+
"min_instance_score": "0.0",
|
| 357 |
+
"max_instance_score": "1.0",
|
| 358 |
+
"response_count": "352",
|
| 359 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-30b_0\",\"imdb_20260305T000052Z_1_llama-30b_0\",\"imdb_20260305T000052Z_2_llama-30b_0\",\"imdb_20260305T000052Z_3_llama-30b_0\",\"imdb_20260305T000052Z_4_llama-30b_0\"]"
|
| 360 |
+
},
|
| 361 |
+
"uncertainty": {
|
| 362 |
+
"standard_error": {
|
| 363 |
+
"value": 0.012061538169284717,
|
| 364 |
+
"method": "analytic"
|
| 365 |
+
},
|
| 366 |
+
"standard_deviation": 0.2262945148676995,
|
| 367 |
+
"num_samples": 352
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"generation_config": {
|
| 371 |
+
"generation_args": {
|
| 372 |
+
"temperature": 0.0,
|
| 373 |
+
"top_p": 1.0,
|
| 374 |
+
"top_k": 1.0,
|
| 375 |
+
"max_tokens": 5,
|
| 376 |
+
"max_attempts": 1
|
| 377 |
+
},
|
| 378 |
+
"additional_details": {
|
| 379 |
+
"do_sample": "false",
|
| 380 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"evaluation_result_id": "imdb::prefix-exact-match",
|
| 386 |
+
"evaluation_name": "openeval.imdb.prefix-exact-match",
|
| 387 |
+
"source_data": {
|
| 388 |
+
"dataset_name": "imdb",
|
| 389 |
+
"source_type": "hf_dataset",
|
| 390 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 391 |
+
"hf_split": "train",
|
| 392 |
+
"samples_number": 352,
|
| 393 |
+
"additional_details": {
|
| 394 |
+
"benchmark_name": "imdb",
|
| 395 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 396 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 397 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
"metric_config": {
|
| 401 |
+
"evaluation_description": "Mean OpenEval score for prefix_exact_match on imdb.",
|
| 402 |
+
"metric_id": "openeval.imdb.prefix-exact-match",
|
| 403 |
+
"metric_name": "prefix_exact_match",
|
| 404 |
+
"metric_kind": "benchmark_score",
|
| 405 |
+
"metric_unit": "proportion",
|
| 406 |
+
"lower_is_better": false,
|
| 407 |
+
"score_type": "continuous",
|
| 408 |
+
"min_score": 0.0,
|
| 409 |
+
"max_score": 1.0,
|
| 410 |
+
"additional_details": {
|
| 411 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 412 |
+
"aggregation": "mean",
|
| 413 |
+
"raw_metric_name": "prefix_exact_match",
|
| 414 |
+
"response_count": "352",
|
| 415 |
+
"unique_sample_count": "352",
|
| 416 |
+
"score_values_are_binary": "true",
|
| 417 |
+
"bounds_source": "binary_values",
|
| 418 |
+
"metric_models_json": "[]",
|
| 419 |
+
"extra_artifact_types_json": "[]"
|
| 420 |
+
}
|
| 421 |
+
},
|
| 422 |
+
"score_details": {
|
| 423 |
+
"score": 0.9460227272727273,
|
| 424 |
+
"details": {
|
| 425 |
+
"min_instance_score": "0.0",
|
| 426 |
+
"max_instance_score": "1.0",
|
| 427 |
+
"response_count": "352",
|
| 428 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-30b_0\",\"imdb_20260305T000052Z_1_llama-30b_0\",\"imdb_20260305T000052Z_2_llama-30b_0\",\"imdb_20260305T000052Z_3_llama-30b_0\",\"imdb_20260305T000052Z_4_llama-30b_0\"]"
|
| 429 |
+
},
|
| 430 |
+
"uncertainty": {
|
| 431 |
+
"standard_error": {
|
| 432 |
+
"value": 0.012061538169284717,
|
| 433 |
+
"method": "analytic"
|
| 434 |
+
},
|
| 435 |
+
"standard_deviation": 0.2262945148676995,
|
| 436 |
+
"num_samples": 352
|
| 437 |
+
}
|
| 438 |
+
},
|
| 439 |
+
"generation_config": {
|
| 440 |
+
"generation_args": {
|
| 441 |
+
"temperature": 0.0,
|
| 442 |
+
"top_p": 1.0,
|
| 443 |
+
"top_k": 1.0,
|
| 444 |
+
"max_tokens": 5,
|
| 445 |
+
"max_attempts": 1
|
| 446 |
+
},
|
| 447 |
+
"additional_details": {
|
| 448 |
+
"do_sample": "false",
|
| 449 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 450 |
+
}
|
| 451 |
+
}
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"evaluation_result_id": "imdb::quasi-exact-match",
|
| 455 |
+
"evaluation_name": "openeval.imdb.quasi-exact-match",
|
| 456 |
+
"source_data": {
|
| 457 |
+
"dataset_name": "imdb",
|
| 458 |
+
"source_type": "hf_dataset",
|
| 459 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 460 |
+
"hf_split": "train",
|
| 461 |
+
"samples_number": 352,
|
| 462 |
+
"additional_details": {
|
| 463 |
+
"benchmark_name": "imdb",
|
| 464 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 465 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 466 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"metric_config": {
|
| 470 |
+
"evaluation_description": "Mean OpenEval score for quasi_exact_match on imdb.",
|
| 471 |
+
"metric_id": "openeval.imdb.quasi-exact-match",
|
| 472 |
+
"metric_name": "quasi_exact_match",
|
| 473 |
+
"metric_kind": "benchmark_score",
|
| 474 |
+
"metric_unit": "proportion",
|
| 475 |
+
"lower_is_better": false,
|
| 476 |
+
"score_type": "continuous",
|
| 477 |
+
"min_score": 0.0,
|
| 478 |
+
"max_score": 1.0,
|
| 479 |
+
"additional_details": {
|
| 480 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 481 |
+
"aggregation": "mean",
|
| 482 |
+
"raw_metric_name": "quasi_exact_match",
|
| 483 |
+
"response_count": "352",
|
| 484 |
+
"unique_sample_count": "352",
|
| 485 |
+
"score_values_are_binary": "true",
|
| 486 |
+
"bounds_source": "binary_values",
|
| 487 |
+
"metric_models_json": "[]",
|
| 488 |
+
"extra_artifact_types_json": "[]"
|
| 489 |
+
}
|
| 490 |
+
},
|
| 491 |
+
"score_details": {
|
| 492 |
+
"score": 0.9460227272727273,
|
| 493 |
+
"details": {
|
| 494 |
+
"min_instance_score": "0.0",
|
| 495 |
+
"max_instance_score": "1.0",
|
| 496 |
+
"response_count": "352",
|
| 497 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-30b_0\",\"imdb_20260305T000052Z_1_llama-30b_0\",\"imdb_20260305T000052Z_2_llama-30b_0\",\"imdb_20260305T000052Z_3_llama-30b_0\",\"imdb_20260305T000052Z_4_llama-30b_0\"]"
|
| 498 |
+
},
|
| 499 |
+
"uncertainty": {
|
| 500 |
+
"standard_error": {
|
| 501 |
+
"value": 0.012061538169284717,
|
| 502 |
+
"method": "analytic"
|
| 503 |
+
},
|
| 504 |
+
"standard_deviation": 0.2262945148676995,
|
| 505 |
+
"num_samples": 352
|
| 506 |
+
}
|
| 507 |
+
},
|
| 508 |
+
"generation_config": {
|
| 509 |
+
"generation_args": {
|
| 510 |
+
"temperature": 0.0,
|
| 511 |
+
"top_p": 1.0,
|
| 512 |
+
"top_k": 1.0,
|
| 513 |
+
"max_tokens": 5,
|
| 514 |
+
"max_attempts": 1
|
| 515 |
+
},
|
| 516 |
+
"additional_details": {
|
| 517 |
+
"do_sample": "false",
|
| 518 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"evaluation_result_id": "imdb::quasi-prefix-exact-match",
|
| 524 |
+
"evaluation_name": "openeval.imdb.quasi-prefix-exact-match",
|
| 525 |
+
"source_data": {
|
| 526 |
+
"dataset_name": "imdb",
|
| 527 |
+
"source_type": "hf_dataset",
|
| 528 |
+
"hf_repo": "human-centered-eval/OpenEval",
|
| 529 |
+
"hf_split": "train",
|
| 530 |
+
"samples_number": 352,
|
| 531 |
+
"additional_details": {
|
| 532 |
+
"benchmark_name": "imdb",
|
| 533 |
+
"paper_url": "https://aclanthology.org/P11-1015/",
|
| 534 |
+
"dataset_url": "https://ai.stanford.edu/~amaas/data/sentiment/",
|
| 535 |
+
"source_urls_json": "[\"https://huggingface.co/datasets/human-centered-eval/OpenEval\",\"https://github.com/open-eval/OpenEval\",\"https://ai.stanford.edu/~amaas/data/sentiment/\"]"
|
| 536 |
+
}
|
| 537 |
+
},
|
| 538 |
+
"metric_config": {
|
| 539 |
+
"evaluation_description": "Mean OpenEval score for quasi_prefix_exact_match on imdb.",
|
| 540 |
+
"metric_id": "openeval.imdb.quasi-prefix-exact-match",
|
| 541 |
+
"metric_name": "quasi_prefix_exact_match",
|
| 542 |
+
"metric_kind": "benchmark_score",
|
| 543 |
+
"metric_unit": "proportion",
|
| 544 |
+
"lower_is_better": false,
|
| 545 |
+
"score_type": "continuous",
|
| 546 |
+
"min_score": 0.0,
|
| 547 |
+
"max_score": 1.0,
|
| 548 |
+
"additional_details": {
|
| 549 |
+
"benchmark_tags_json": "[\"sentiment_classification\"]",
|
| 550 |
+
"aggregation": "mean",
|
| 551 |
+
"raw_metric_name": "quasi_prefix_exact_match",
|
| 552 |
+
"response_count": "352",
|
| 553 |
+
"unique_sample_count": "352",
|
| 554 |
+
"score_values_are_binary": "true",
|
| 555 |
+
"bounds_source": "binary_values",
|
| 556 |
+
"metric_models_json": "[]",
|
| 557 |
+
"extra_artifact_types_json": "[]"
|
| 558 |
+
}
|
| 559 |
+
},
|
| 560 |
+
"score_details": {
|
| 561 |
+
"score": 0.9460227272727273,
|
| 562 |
+
"details": {
|
| 563 |
+
"min_instance_score": "0.0",
|
| 564 |
+
"max_instance_score": "1.0",
|
| 565 |
+
"response_count": "352",
|
| 566 |
+
"example_response_ids_json": "[\"imdb_20260305T000052Z_0_llama-30b_0\",\"imdb_20260305T000052Z_1_llama-30b_0\",\"imdb_20260305T000052Z_2_llama-30b_0\",\"imdb_20260305T000052Z_3_llama-30b_0\",\"imdb_20260305T000052Z_4_llama-30b_0\"]"
|
| 567 |
+
},
|
| 568 |
+
"uncertainty": {
|
| 569 |
+
"standard_error": {
|
| 570 |
+
"value": 0.012061538169284717,
|
| 571 |
+
"method": "analytic"
|
| 572 |
+
},
|
| 573 |
+
"standard_deviation": 0.2262945148676995,
|
| 574 |
+
"num_samples": 352
|
| 575 |
+
}
|
| 576 |
+
},
|
| 577 |
+
"generation_config": {
|
| 578 |
+
"generation_args": {
|
| 579 |
+
"temperature": 0.0,
|
| 580 |
+
"top_p": 1.0,
|
| 581 |
+
"top_k": 1.0,
|
| 582 |
+
"max_tokens": 5,
|
| 583 |
+
"max_attempts": 1
|
| 584 |
+
},
|
| 585 |
+
"additional_details": {
|
| 586 |
+
"do_sample": "false",
|
| 587 |
+
"generation_config_hash": "b73f2fac07cc"
|
| 588 |
+
}
|
| 589 |
+
}
|
| 590 |
+
}
|
| 591 |
+
]
|
| 592 |
+
}
|