Search is not available for this dataset
observation.state
sequence
action
sequence
timestamp
float32
episode_index
int64
frame_index
int64
next.reward
float32
next.done
bool
index
int64
task_index
int64
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 3000,
    "total_frames": 149985,
    "total_tasks": 1,
    "total_videos": 3000,
    "total_chunks": 3,
    "chunks_size": 1000,
    "fps": 20,
    "splits": {
        "train": "0:3000"
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    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "features": {
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        "task_index": {
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    }
}

Citation

BibTeX:

@inproceedings{lee2019icra,
    title={Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks},
    author={Lee, Michelle A and Zhu, Yuke and Srinivasan, Krishnan and Shah, Parth and Savarese, Silvio and Fei-Fei, Li and  Garg, Animesh and Bohg, Jeannette},
    booktitle={2019 IEEE International Conference on Robotics and Automation (ICRA)},
    year={2019},
    url={https://arxiv.org/abs/1810.10191}
}
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