Datasets:
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observation.state
sequence | action
sequence | timestamp
float32 0
35
| episode_index
int64 0
135
| frame_index
int64 0
350
| next.reward
float32 0
1
| next.done
bool 2
classes | index
int64 0
27.8k
| task_index
int64 0
0
|
---|---|---|---|---|---|---|---|---|
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End of preview. Expand
in Dataset Viewer.
This dataset was created using LeRobot.
Dataset Structure
{
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"robot_type": "unknown",
"total_episodes": 136,
"total_frames": 27808,
"total_tasks": 1,
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"total_chunks": 1,
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"fps": 10,
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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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}
}
Citation
BibTeX:
@inproceedings{chi2023diffusionpolicy,
title={Diffusion Policy: Visuomotor Policy Learning via Action Diffusion},
author={Chi, Cheng and Feng, Siyuan and Du, Yilun and Xu, Zhenjia and Cousineau, Eric and Burchfiel, Benjamin and Song, Shuran},
booktitle={Proceedings of Robotics: Science and Systems (RSS)},
year={2023}
}
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