---
license: cc-by-nc-4.0
configs:
- config_name: default
  data_files:
  - split: train
    path: viewer/train_metadata.csv.gz
  - split: test_seen
    path: viewer/test_seen_metadata.csv
  - split: test_unseen
    path: viewer/test_unseen_metadata.csv
---
# Streamer Dataset

Streamer is a co-speech gesture dataset with paired audio and 3D human motion from live streamers, introduced in **GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation (ICCV 2025)**.

- [Paper (arXiv:2507.22731)](https://arxiv.org/abs/2507.22731)
- [Paper (ICCV 2025 proceedings)](https://openaccess.thecvf.com/content/ICCV2025/html/Yang_GestureHYDRA_Semantic_Co-speech_Gesture_Synthesis_via_Hybrid_Modality_Diffusion_Transformer_ICCV_2025_paper.html)
- [Project page](https://mumuwei.github.io/GestureHYDRA/)
- [Code and usage instructions](https://github.com/hlyyyyy/GestureHydra)

## Dataset description
- The Streamer dataset we proposed consists of 281 anchors and 20,969 clips of data.
- The training set contains 19,051 clips of data and 269 anchors.
- The seen test set contains 920 clips of data, where the anchor ID has appeared in the training set.
- The unseen test set contains 998 clips of data, where the anchor ID has never appeared in the training set.

## Dataset structure 
The dataset contains three folders: *train*, *test_seen*, and *test_unseen*. The *train* split is shown below as an example.

```plaintext
-train/
├── audios/
│   ├── {anchor_id}/
│   │   └── {video_name_md5}/
│   │       └── {start_time}_{end_time}.wav
├── gestures/
│   ├── {anchor_id}/
│   │   └── {video_name_md5}/
│   │       └── {start_time}_{end_time}.pkl
```
The audio data in the audios folder corresponds one-to-one with the human motion data in the gestures folder.

For the Hugging Face Dataset Viewer, this repository also includes lightweight
CSV manifests under `viewer/`. They index each clip in the zip archives so the
viewer can render a table without scanning the full raw payload.


Data contained in the pkl file:
- width, height: the video width and height
- center: the center point of the video
- batch_size: the sequence length
- camera_transl: the displacement of the camera
- focal_length: the pixel focal length of a camera
- body_pose_axis: (bs, 21x3)
- jaw_pose: (bs,3)
- betas: (1,10)
- global_orient: (bs,3)
- transl: (bs,3)
- left_hand_pose: (bs,15x3)
- right_hand_pose: (bs,15x3)
- leye_pose: (bs,3)
- reye_pose: (bs,3)
- pose_embedding: (bs,32)

## Citation

If you use Streamer in your research, please cite the GestureHYDRA paper:

```bibtex
@InProceedings{Yang_2025_ICCV,
  author    = {Yang, Quanwei and Huang, Luying and Wang, Kaisiyuan and Guan, Jiazhi and He, Shengyi and Li, Fengguo and Zhou, Hang and Yu, Lingyun and Li, Yingying and Feng, Haocheng and Xie, Hongtao},
  title     = {{GestureHYDRA}: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month     = {October},
  year      = {2025},
  pages     = {12615--12625},
  url       = {https://openaccess.thecvf.com/content/ICCV2025/html/Yang_GestureHYDRA_Semantic_Co-speech_Gesture_Synthesis_via_Hybrid_Modality_Diffusion_Transformer_ICCV_2025_paper.html}
}
```

## License

This dataset is licensed under [Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/), as specified in this repository's metadata.