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arkimjh/social-benchmark

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Hugging Face2026-03-23 更新2026-03-29 收录
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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 - multi-person - gaze - gesture-recognition size_categories: - 1K<n<10K --- # Social Benchmark Dataset ## Description Social Benchmark is a video-based social understanding benchmark dataset containing **6,433 video clips** from 3 evaluation sets: MMSI, Online-MMSI, and original TVQA+. Each benchmark tests different aspects of social reasoning in multi-person video scenarios. ## Dataset Statistics | Benchmark | Videos | Size | JSON Files | |-----------|--------|------|------------| | MMSI | 1,708 | ~377 MB | 3 (mpp, pcr, sti) | | Online-MMSI | 1,708 | ~2.9 GB | 3 (mpp, pcr, sti) | | original TVQA+ | 3,017 | ~540 MB | 1 (eval) | | **Total** | **6,433** | **~3.8 GB** | **7** | ## Benchmark Tasks - **MPP** (Multi-Person Prediction): Predict social behaviors of multiple persons - **PCR** (Person-Centric Reasoning): Reason about individual person's social role - **STI** (Social Temporal Inference): Infer social dynamics over time - **TVQA+**: Video question answering with spatial-temporal grounding ## Dataset Structure ``` social-benchmark/ ├── json/ │ ├── mmsi_test_mpp_original.json │ ├── mmsi_test_pcr_original.json │ ├── mmsi_test_sti_original.json │ ├── online_mmsi_test_mpp_extended.json │ ├── online_mmsi_test_pcr_extended.json │ ├── online_mmsi_test_sti_extended.json │ └── tvqa_plus_eval.json └── tars/ ├── mmsi_videos_part001.tar ├── online_mmsi_videos_part001.tar └── original_tvqa_plus_videos_part001.tar ``` ## Usage ```python from huggingface_hub import snapshot_download # Download everything snapshot_download( repo_id="arkimjh/social-benchmark", repo_type="dataset", local_dir="./social-benchmark" ) # Extract video archives import tarfile from pathlib import Path for tar_file in Path("./social-benchmark/tars").glob("*.tar"): with tarfile.open(tar_file) as tf: tf.extractall("./social-benchmark/videos/") ``` ## Data Sources - **MMSI**: Multi-Modal Social Interaction benchmark (offline setting, original videos) - **Online-MMSI**: Multi-Modal Social Interaction benchmark (online setting, original videos) - **original TVQA+**: TV show QA with compositional spatio-temporal grounding (original videos) ## Citation TBD
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