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--- |
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dataset_info: |
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dataset_name: SmolVLA Test Dataset |
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dataset_type: LeRobot |
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version: 2.1 |
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--- |
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# SmolVLA Test Dataset |
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This is a test dataset created by the refactored SmolVLA library to demonstrate proper LeRobot format support. |
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## Features |
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- **LeRobot v2.1 format**: Fully compatible with LeRobot training pipelines |
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- **Episode structure preserved**: Maintains temporal coherence |
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- **Videos included**: MP4 files for visual observations |
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- **Proper metadata**: Statistics, episode info, and task descriptions |
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## Dataset Structure |
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``` |
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. |
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├── data/ # Parquet files with trajectory data |
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├── videos/ # MP4 files for camera observations |
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└── meta/ # Metadata (info.json, episodes.jsonl, etc.) |
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``` |
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## Usage |
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```python |
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from lerobot.datasets import LeRobotDataset |
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# Load the dataset |
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dataset = LeRobotDataset("SmolVLADataset/claude") |
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# Access samples |
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sample = dataset[0] |
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print(sample.keys()) |
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``` |
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## Source |
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This dataset was created by merging LeRobot datasets using the SmolVLA library: |
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https://github.com/smolvladataset/smolvladataset |
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The refactored library now properly: |
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- Downloads complete LeRobot datasets with videos |
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- Preserves episode structure and metadata |
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- Returns LeRobot-compatible dataset objects |
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- Validates dataset compatibility before merging |
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