| --- |
| license: other |
| license_name: academic-research-only |
| license_link: LICENSE |
| extra_gated_prompt: >- |
| This dataset is available for non-commercial academic research only. The video |
| content remains the property of its original copyright holders and source |
| datasets (MELD, Ego4D, SocialGesture / YouTube). By requesting access you |
| confirm that you will use the dataset solely for non-commercial academic |
| research and will comply with the terms of the original sources. |
| extra_gated_fields: |
| Affiliation: text |
| I agree to use this dataset for non-commercial academic research only: checkbox |
| task_categories: |
| - image-to-video |
| - text-to-video |
| language: |
| - en |
| tags: |
| - video-generation |
| - social-interaction |
| - multi-person |
| pretty_name: SocialDirector Dataset |
| size_categories: |
| - n<1K |
| --- |
| |
| # SocialDirector Dataset |
|
|
| Evaluation dataset of **SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation** — 149 five-second multi-person clips with structured social-interaction annotations: *who* does *what*, *when*, and *toward whom*. |
|
|
| - **GitHub:** https://github.com/ut-vision/SocialDirector |
| - **Paper:** https://arxiv.org/abs/2605.10079 |
|
|
| ## Contents |
|
|
| ``` |
| ├── annotations.json # 149 records: prompt, boxes, text spans, timestamped events |
| ├── first_frames/ # 149 reference images (generation input), {dataset}_{id:04d}.jpg |
| └── videos/ # 149 ground-truth 5s clips, {dataset}_{id:04d}.mp4 |
| ``` |
|
|
| | Source | Clips | Global `id` range | Domain | |
| |--------|-------|-------------------|--------| |
| | MELD | 19 | 0–18 | TV-series multi-party conversations | |
| | MMSI | 50 | 19–68 | Real-world social interactions (Ego4D & YouTube) | |
| | SocialGesture | 80 | 69–148 | Social game recordings | |
|
|
| **Statistics:** 674 annotated persons (1–8 per clip, mean 4.5), 479 timestamped events (299 with an explicit interaction target). |
|
|
| ## Annotation format |
|
|
| Each record in `annotations.json`: |
|
|
| | Field | Description | |
| |-------|-------------| |
| | `id` | Global sample id (0–148) | |
| | `dataset` | Source dataset (`meld` / `mmsi` / `socialgesture`) | |
| | `video` | Relative path to the 5s ground-truth clip | |
| | `first_frame` | Relative path to the reference image (first frame) | |
| | `prompt` | Structured generation prompt describing the scene and all events | |
| | `n_speakers` | Number of annotated persons | |
| | `speaker_boxes` | `[x1, y1, x2, y2]` boxes, normalized to [0, 1], indexed by speaker id (mostly left-to-right; the prompt gives each speaker's position naming) | |
| | `speaker_text_ids` | Per-person `[char_start, char_end)` span of their action sentence(s) in `prompt` | |
| | `speaker_scene_ids` | Per-person `[char_start, char_end)` span of their mention in the scene description | |
| | `events` | List of `{start, end, speaker, event, target}` — timestamped social events with actor and interaction target | |
| | `interactions` | Directed actor→target pairs in index form with normalized time windows | |
|
|
| ## Intended use |
|
|
| Evaluation dataset for controllable multi-person social interaction video generation: |
| generate a 5s video from `first_frame` + `prompt` (+ `speaker_boxes` / `events` |
| for layout-conditioned methods), then evaluate whether each person performs the |
| specified action within the specified time window toward the specified target. |
| The `videos/` clips are the real ground-truth references (e.g., for FVD / LPIPS). |
|
|
| ## License |
|
|
| This dataset is released **for non-commercial academic research use only**. |
|
|
| - **Annotations** (`annotations.json`), created by the authors, are provided for |
| academic research use only. |
| - **Videos and first frames** are curated from MELD, Ego4D, and SocialGesture / |
| YouTube recordings. The video content remains the property of its original |
| copyright holders and source datasets; we claim no rights over it. By using |
| this dataset you agree to comply with the terms and licenses of the original |
| sources (including the MELD, Ego4D, and SocialGesture license agreements) in |
| addition to the terms above. |
|
|
| If you are a copyright holder and believe any content should be removed, please |
| contact us (oyly@iis.u-tokyo.ac.jp) and we will promptly take it down. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{ouyang2026socialdirector, |
| title = {SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation}, |
| author = {Ouyang, Liangyang and Liu, Ruicong and Kang, Caixin and Huang, Yifei and Sato, Yoichi}, |
| journal = {arXiv preprint arXiv:2605.10079}, |
| year = {2026} |
| } |
| ``` |
|
|
