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  1. README.md +68 -0
  2. p005-gopro-034/cam_0/rgb/video.mp4 +3 -0
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README.md ADDED
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+ # Processed Episodes Gestures Dataset
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+
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+ This dataset contains processed gesture episodes with multi-camera video data and metadata from the GigaHands dataset.
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+
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+ ## Dataset Structure
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+
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+ The dataset contains 16 episodes (p005-gopro-034 through p005-gopro-049), each with:
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+
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+ - **Multi-camera video recordings**: Up to 51 cameras per episode in MP4 format
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+ - **Camera calibration data**: Intrinsics and extrinsics matrices for each camera
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+ - **Episode metadata**: Timing information, scene names, and technical parameters
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+ - **Additional processed data**: Extras numpy arrays with supplementary information
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+
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+ ### Directory Structure
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+
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+ ```
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+ processed-episodes-gestures/
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+ ├── p005-gopro-034/
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+ │ ├── metadata.json # Episode metadata and camera parameters
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+ │ ├── extras.npy # Additional processed data
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+ │ ├── cam_0/
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+ │ │ └── rgb/
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+ │ │ └── video.mp4 # Camera 0 video recording
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+ │ ├── cam_1/
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+ │ │ └── rgb/
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+ │ │ └── video.mp4 # Camera 1 video recording
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+ │ └── ... (up to cam_50)
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+ ├── p005-gopro-035/
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+ │ └── ... (same structure)
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+ └── ... (through p005-gopro-049)
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+ ```
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+
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+ ### Metadata Format
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+
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+ Each episode's `metadata.json` contains:
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+ - `n_cams`: Number of cameras (typically 51)
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+ - `n_steps`: Number of time steps in the episode
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+ - `scene_name`: Identifier for the scene
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+ - `video_format`: Format of video files (jpg/mp4)
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+ - Camera-specific data for each camera:
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+ - `extrinsics`: 4x4 transformation matrix
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+ - `intrinsics`: 3x3 camera intrinsic matrix
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+ - `resolution`: [width, height] of the camera
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+
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+ ## Usage
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+
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+ You can load this dataset using the Hugging Face datasets library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("LocalWorldModels/processed-episodes-gestures")
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+
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+ # Access episode data
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+ for episode in dataset:
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+ print(f"Episode: {episode['episode_name']}")
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+ print(f"Cameras: {episode['n_cams']}")
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+ print(f"Steps: {episode['n_steps']}")
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+ ```
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite the original GigaHands work and this processed version.
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+
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+ ## License
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+
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+ Please refer to the original GigaHands dataset license terms.
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