Search is not available for this dataset
timestamp float32 0 40 | frame_index int64 0 1.2k | episode_index int64 0 0 | index int64 0 1.2k | task_index int64 0 0 | observation.state list | action list |
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1.2302526235580444,
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] |
3.166667 | 95 | 0 | 95 | 0 | [
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0.8958447575569153,
1.2563302516937256,
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0.8513593077659607,
1.2241166830062866,
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] |
3.2 | 96 | 0 | 96 | 0 | [
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0.8851069211959839,
1.2471263408660889,
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] | [
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0.8406214714050293,
1.21491277217865,
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] |
3.233333 | 97 | 0 | 97 | 0 | [
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0.8805049657821655,
1.2394565343856812,
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] | [
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0.8344855308532715,
1.2057088613510132,
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3.266667 | 98 | 0 | 98 | 0 | [
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0.8743690252304077,
1.2333205938339233,
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0.8283496499061584,
1.1949710845947266,
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] |
3.3 | 99 | 0 | 99 | 0 | [
0.015339807607233524,
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0.8651651740074158,
1.2241166830062866,
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] | [
0.006135923322290182,
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0.8252816796302795,
1.179631233215332,
-0.05215534567832947,
0.6948933005332947
] |
End of preview. Expand in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.1",
"robot_type": "omx_f",
"total_episodes": 1,
"total_frames": 1200,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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": {
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"observation.images.camera1": {
"dtype": "video",
"names": [
"height",
"width",
"channels"
],
"shape": [
480,
640,
3
],
"info": {
"video.height": 480,
"video.width": 640,
"video.channels": 3,
"video.codec": "libx264",
"video.pix_fmt": "yuv420p"
}
},
"observation.state": {
"dtype": "float32",
"names": [
"joint1",
"joint2",
"joint3",
"joint4",
"joint5",
"gripper_joint_1"
],
"shape": [
6
]
},
"action": {
"dtype": "float32",
"names": [
"joint1",
"joint2",
"joint3",
"joint4",
"joint5",
"gripper_joint_1"
],
"shape": [
6
]
}
}
}
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