Upload SituatedQA.py

SituatedQA.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""SituatedQA: Incorporating Extra-Linguistic Contexts into QA."""
+
+
+import json
+import re
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@article{ zhang2021situatedqa,
+  title={ {S}ituated{QA}: Incorporating Extra-Linguistic Contexts into {QA} },
+  author={ Zhang, Michael J.Q. and Choi, Eunsol },
+  journal={ Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) },
+  year={ 2021 }
+}
+"""
+
+_DESCRIPTION = """\
+"""
+
+_URL = "https://raw.githubusercontent.com/mikejqzhang/SituatedQA/master/data/qa_data/"
+_URLS = {
+    "geo_train": _URL + "geo.train.jsonl",
+    "geo_dev": _URL + "geo.dev.jsonl",
+    "geo_test": _URL + "geo.test.jsonl",
+    "temp_train": _URL + "temp.train.jsonl",
+    "temp_dev": _URL + "temp.dev.jsonl",
+    "temp_test": _URL + "temp.test.jsonl",
+}
+
+class SituatedQAConfig(datasets.BuilderConfig):
+
+    def __init__(self, **kwargs):
+        """BuilderConfig
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(SituatedQAConfig, self).__init__(**kwargs)
+
+
+class Squall(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        SituatedQAConfig(name = 'geo'),
+        SituatedQAConfig(name = 'temp')]
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question": datasets.Value("string"),
+                    "id": datasets.Value("string"),
+                    "edited_question": datasets.Value("string"),
+                    "date": datasets.Value("string"),
+                    "date_type": datasets.Value("string"),
+                    "location": datasets.Value("string"),
+                    "answer": datasets.features.Sequence(datasets.Value("string")),
+                    "any_answer": datasets.features.Sequence(datasets.Value("string")),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both question
+            # and context as input).
+            supervised_keys=None,
+            homepage="https://github.com/mikejqzhang/SituatedQA/tree/master",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls_to_download = {
+            "geo_train": _URLS["geo_train"],
+            "geo_dev": _URLS["geo_dev"],
+            "geo_test": _URLS["geo_test"],
+            "temp_train": _URLS["temp_train"],
+            "temp_dev": _URLS["temp_dev"],
+            "temp_test": _URLS["temp_test"],
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        if self.config.name == 'geo':
+            train_file = downloaded_files["geo_train"]
+            dev_file = downloaded_files["geo_dev"]
+            test_file = downloaded_files["geo_test"]
+        else:
+            train_file = downloaded_files["temp_train"]
+            dev_file = downloaded_files["temp_dev"]
+            test_file = downloaded_files["temp_test"]
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, 
+                gen_kwargs={"split_key": "train", "filepath": train_file}),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, 
+                gen_kwargs={"split_key": "dev", "filepath": dev_file}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, 
+                gen_kwargs={"split_key": "test", "filepath": test_file}),
+        ]
+
+    def _generate_examples(self, split_key, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+
+        with open(filepath, 'r') as file:
+            json_list = list(file)
+ 
+        for i, line in enumerate(json_list):
+            data = json.loads(line)
+            if 'location' not in data:
+                data['location']=''
+            if 'date' not in data:
+                data['date']=''
+            if 'date_type' not in data:
+                data['date_type']=''
+                
+            yield i, {
+                "question": data["question"],
+                "id": str(data["id"]),
+                "edited_question": data["edited_question"],
+                "date": data["date"],
+                "date_type": data["date_type"],
+                "location": data["location"],
+                "answer": data["answer"],
+                "any_answer": data["any_answer"]
+            }
+