Datasets:
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observation.images.top
imagewidth (px) 640
640
| observation.state
sequence | action
sequence | episode_index
int64 0
49
| frame_index
int64 0
399
| timestamp
float32 0
7.98
| next.done
bool 2
classes | index
int64 0
20k
| task_index
int64 0
0
|
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End of preview. Expand
in Dataset Viewer.
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 0,
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"fps": 50,
"splits": {
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {
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]
},
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"shape": [
14
],
"names": {
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"left_waist",
"left_shoulder",
"left_elbow",
"left_forearm_roll",
"left_wrist_angle",
"left_wrist_rotate",
"left_gripper",
"right_waist",
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"right_wrist_angle",
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]
}
},
"action": {
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"names": {
"motors": [
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},
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}
}
Citation
BibTeX:
@article{Zhao2023LearningFB,
title={Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware},
author={Tony Zhao and Vikash Kumar and Sergey Levine and Chelsea Finn},
journal={RSS},
year={2023},
volume={abs/2304.13705},
url={https://arxiv.org/abs/2304.13705}
}
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