LocalWorldModels/processed-episodes-gestures

Processed Episodes Gestures Dataset

This dataset contains processed gesture episodes with multi-camera video data and metadata from the GigaHands dataset.

Dataset Structure

The dataset contains 16 episodes (p005-gopro-034 through p005-gopro-049), each with:

• Multi-camera video recordings: Up to 51 cameras per episode in MP4 format
• Camera calibration data: Intrinsics and extrinsics matrices for each camera
• Episode metadata: Timing information, scene names, and technical parameters
• Additional processed data: Extras numpy arrays with supplementary information

Directory Structure

processed-episodes-gestures/
├── p005-gopro-034/
│   ├── metadata.json          # Episode metadata and camera parameters
│   ├── extras.npy            # Additional processed data
│   ├── cam_0/
│   │   └── rgb/
│   │       └── video.mp4     # Camera 0 video recording
│   ├── cam_1/
│   │   └── rgb/
│   │       └── video.mp4     # Camera 1 video recording
│   └── ... (up to cam_50)
├── p005-gopro-035/
│   └── ... (same structure)
└── ... (through p005-gopro-049)

Metadata Format

Each episode's metadata.json contains:

• n_cams: Number of cameras (typically 51)
• n_steps: Number of time steps in the episode
• scene_name: Identifier for the scene
• video_format: Format of video files (jpg/mp4)
• Camera-specific data for each camera:
  • extrinsics: 4x4 transformation matrix
  • intrinsics: 3x3 camera intrinsic matrix
  • resolution: [width, height] of the camera

Usage

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("LocalWorldModels/processed-episodes-gestures")

# Access episode data
for episode in dataset:
    print(f"Episode: {episode['episode_name']}")
    print(f"Cameras: {episode['n_cams']}")
    print(f"Steps: {episode['n_steps']}")

Citation

If you use this dataset, please cite the original GigaHands work and this processed version.

License

Please refer to the original GigaHands dataset license terms.