Datasets:
episode_index int32 0 220 | frame_index int32 0 239 | exterior_image_1_left imagewidth (px) 320 320 | exterior_image_2_left imagewidth (px) 320 320 | embeddings listlengths 1.28k 1.28k | task stringclasses 15
values |
|---|---|---|---|---|---|
0 | 0 | [
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-0.02605187706649... | Place the chicken in the bowl for the human. | ||
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0 | 4 | [
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0 | 5 | [
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0 | 6 | [
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0 | 7 | [0.19225268065929413,0.05504160374403,-0.19504784047603607,0.3060668110847473,-0.15497294068336487,-(...TRUNCATED) | Place the chicken in the bowl for the human. | ||
0 | 8 | [0.20395685732364655,0.022488601505756378,-0.1985175758600235,0.32288068532943726,-0.138324007391929(...TRUNCATED) | Place the chicken in the bowl for the human. | ||
0 | 9 | [0.20747512578964233,0.016926540061831474,-0.18178224563598633,0.28552761673927307,-0.12496752291917(...TRUNCATED) | Place the chicken in the bowl for the human. |
End of preview. Expand in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.1",
"robot_type": "panda",
"total_episodes": 3,
"total_frames": 925,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:3"
},
"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": {
"exterior_image_1_left": {
"dtype": "image",
"shape": [
180,
320,
3
],
"names": [
"height",
"width",
"channel"
]
},
"exterior_image_2_left": {
"dtype": "image",
"shape": [
180,
320,
3
],
"names": [
"height",
"width",
"channel"
]
},
"embeddings": {
"dtype": "float32",
"shape": [
1280
],
"names": [
"embedding"
]
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
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"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
}
}
Citation
BibTeX:
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