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# 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:
```python
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.