mumuwei/Streamer

GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation.ICCV 2025

Dataset structure

The dataset contains three folders: train, test_seen, and test_unseen. Let's train train as an example for introduction.

-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)