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observation.state list | action list | next.reward float32 0 10 | next.success bool 2
classes | observation.image imagewidth (px) 224 224 | task_id int16 0 45 | timestamp float32 0 6.24 | frame_index int64 0 499 | episode_index int64 0 499 | index int64 0 46.3k | task_index int64 0 9 | observation.image_slots array 2D | observation.image_masks array 3D |
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End of preview. Expand in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 500,
"total_frames": 46327,
"total_tasks": 10,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 80,
"splits": {
"train": "0:500"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
4
],
"names": {
"axes": null
},
"fps": 80
},
"action": {
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"shape": [
4
],
"names": {
"axes": [
"x",
"y",
"z",
"gripper"
]
},
"fps": 80
},
"next.reward": {
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"shape": [
1
],
"names": null,
"fps": 80
},
"next.success": {
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"shape": [
1
],
"names": null,
"fps": 80
},
"observation.image": {
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"shape": [
3,
224,
224
],
"names": [
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"height",
"width"
],
"fps": 80
},
"task_id": {
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"shape": [
1
],
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},
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},
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},
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},
"observation.image_slots": {
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],
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},
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],
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}
}
}
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