Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- robotics
+- question-answering
+tags:
+- Navigation
+- Retrieval
+- Visual Embedding
+- Multimodal
+- VLM
+- MLLM
+size_categories:
+- n<1K
+---
+
+
+# RAVEN: Long-Horizon Reasoning and Navigation with a Visuo-Spatial-Temporal Memory
+
+[Website](https://#) [Code](https://#) [Citation](#citation)
+
+
+Introduction:
+We release the RAVEN-QA dataset. 
+
+- Task: given a subsampled list of frames from a long video, each paired with timestamps and positions, and given a user query, 
+the model or robot will find the time or positions where the queried thing shows up. The query can be objects, places, events, and concepts. 
+
+- Categories: They cover dominant and secondary object retrieval (dominant or secondary in view), visual reasoning, commonsense reasoning, information recall, and spatial understanding. 
+
+- Diversity: The dataset covers real-world and simulation robot view videos, web-sourced human view videos, and our self-recorded tour videos.
+
+## Parts
+
+1. irs: A simple retrieval dataset, including YouTube indoor and outdoor videos.
+   (6 videos; 54 queries; with text and image queries)
+2. irs_hard: A harder human-ego retrieval dataset, including self-recorded and web-sourced videos for more challenging object-finding.
+   (3 videos; 41 queries; with text queries)
+3. habitat_sim: A robot simulation dataset in Habitat environments.
+   (19 videos; 157 queris; with text queries)
+4. real_world: A real-world robot exploration dataset taken in our labs and public areas.
+   (4 videos; 21 queries; with text queries)
+
+
+
+
+
+## File Structure
+
+```
+dataset_name/
+├─ subsplit_name/
+│  ├─ video_name/
+│  │  ├─ frames/
+│  │  │  ├─ frame_001.jpg
+│  │  │  ├─ frame_002.jpg
+│  │  │  └─ ...
+│  │  └─ questions.json
+│  ├─ ...
+│  │
+├─ subsplit_name/
+│  ├─ video_name/
+
+```
+
+
+
+## Citation
+
+TODO