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arkimjh/werewolf2.0

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Hugging Face2026-03-27 更新2026-03-29 收录
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https://hf-mirror.com/datasets/arkimjh/werewolf2.0
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--- license: cc-by-4.0 task_categories: - video-text-to-text - visual-question-answering language: - en tags: - video - social-interaction - benchmark - gaze - werewolf size_categories: - 1K<n<10K --- # Werewolf 2.0 Benchmark ## Description Werewolf 2.0 is a video-based social reasoning benchmark dataset containing **2,487 video clips** with per-clip QA annotations. Each QA tests gaze-based social understanding in multi-person scenarios. ## Dataset Statistics | Type | Count | Size | |------|-------|------| | Videos | 2,487 | ~848 MB | | JSONs | 2,487 | ~11 MB | ## 16-Category QA Taxonomy | Cat | Name | Difficulty | Format | |-----|------|-----------|--------| | **T1** | Gaze Target ID | Easy | MCQ | | **T2** | Gaze Event Classification | Easy | MCQ | | **T3** | Temporal Gaze Reasoning | Medium | MCQ | | **T4** | Mutual Gaze Recognition | Medium | MCQ | | **T5** | Gaze Following | Hard | MCQ | | **T6** | Group Attention Dynamics | Hard | MCQ+OE | | **G1** | Gesture Recognition | Easy | MCQ | | **G2** | Gesture Type Classification | Easy | MCQ | | **G3** | Gesture Temporal Reasoning | Medium | MCQ | | **G4** | Gesture Frequency | Medium | MCQ | | **G5** | Gesture Sequence Chains | Hard | MCQ+OE | | **G6** | Reciprocal Gesture Patterns | Hard | MCQ | | **C1** | Gaze-Gesture Temporal Alignment | Medium | MCQ | | **C2** | Eye Contact During Interaction | Medium | MCQ | | **C3** | Gaze Response to Gesture | Hard | MCQ+OE | | **C4** | Cross-Modal Person Dynamics | Hard | MCQ+OE | ## Dataset Structure ``` werewolf2.0/ ├── tars/ │ ├── werewolf2.0_videos_part001.tar → video/*.mp4 │ └── werewolf2.0_jsons_part001.tar → json/*.json └── README.md ``` ## Usage ```python from huggingface_hub import snapshot_download import tarfile from pathlib import Path # Download snapshot_download( repo_id="arkimjh/werewolf2.0", repo_type="dataset", local_dir="./werewolf2.0" ) # Extract for tar_file in Path("./werewolf2.0/tars").glob("*.tar"): with tarfile.open(tar_file) as tf: tf.extractall("./werewolf2.0/") ``` ## Citation TBD
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