Add dataset card with v3.0 version tag information and usage instructions

README.md

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+---
+license: mit
+task_categories:
+- robotics
+tags:
+- robotics
+- lerobot
+- imitation-learning
+- cable-untangling
+- yaskawa
+pretty_name: Yaskawa Cable Untangling Dataset (Small)
+size_categories:
+- 10K<n<100K
+---
+
+# Yaskawa Cable Untangling Dataset (Small)
+
+This is a smaller version of the Yaskawa cable untangling dataset containing 3 episodes. This dataset is useful for testing and development. For the full dataset with 50 episodes, see [chocolat-nya/yaskawa-untangle-20260309-144410](https://huggingface.co/datasets/chocolat-nya/yaskawa-untangle-20260309-144410).
+
+## Dataset Details
+
+- **Total Episodes**: 3
+- **Total Frames**: 14,889
+- **Robot**: Yaskawa 7-axis manipulator
+- **Task**: Cable untangling task
+- **Collection Method**: Direct teaching (teleoperation)
+- **FPS**: 30
+- **Duration**: ~30 seconds per episode
+- **LeRobot Version**: v3.0
+
+## Observations
+
+### State (7-DOF joint angles)
+- `axis_0` to `axis_6`: Joint angles in degrees
+
+### Images (3 cameras)
+- **observation.images.realsense**: Intel RealSense D435I RGB camera (on-hand)
+- **observation.images.fixed_cam1**: Fixed USB Camera 1 (L-837)
+- **observation.images.fixed_cam2**: Fixed USB Camera 2 (L-837)
+
+All images are 640x480 pixels, H.264 encoded.
+
+## Actions
+
+The actions represent the target joint angles for the next timestep:
+- `action_0` to `action_6`: Target joint angles in degrees
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
+
+# Load the dataset from Hugging Face Hub
+dataset = LeRobotDataset("chocolat-nya/yaskawa-untangle-dataset")
+
+print(f"Total episodes: {dataset.num_episodes}")  # 3
+print(f"Total frames: {len(dataset)}")            # 14,889
+
+# Access a specific episode
+episode_0 = dataset.episode(0)
+
+# Get a single frame
+frame = dataset[0]
+print(frame.keys())  # ['action', 'observation.state', 'observation.images.realsense', ...]
+```
+
+### Training with LeRobot
+
+Quick test training with this smaller dataset:
+
+```bash
+lerobot-train \
+  --dataset.repo_id=chocolat-nya/yaskawa-untangle-dataset \
+  --policy.type=act \
+  --output_dir=outputs/train/yaskawa-untangle-test \
+  --job_name=yaskawa-untangle-test \
+  --policy.device=cuda \
+  --steps=10000
+```
+
+### Version Tag
+
+This dataset is tagged with `v3.0` (LeRobot codebase version).
+
+## Data Collection Setup
+
+### Hardware
+- **Robot**: Yaskawa 7-axis manipulator
+- **Cameras**:
+  - Intel RealSense D435I (mounted on robot hand)
+  - 2x USB Camera L-837 (fixed viewpoints)
+- **Control**: Direct teaching mode (30 seconds per episode)
+
+### Camera Configuration
+- RealSense RGB: `/dev/video6`
+- Fixed Camera 1: `/dev/video8`
+- Fixed Camera 2: `/dev/video12`
+
+## Related Datasets
+
+- **Full Dataset (50 episodes)**: [chocolat-nya/yaskawa-untangle-20260309-144410](https://huggingface.co/datasets/chocolat-nya/yaskawa-untangle-20260309-144410)
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{yaskawa_untangle_2026,
+  title={Yaskawa Cable Untangling Dataset},
+  author={chocolat-nya},
+  year={2026},
+  publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/datasets/chocolat-nya/yaskawa-untangle-dataset}}
+}
+```
+
+## License
+
+MIT License