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observation.state
list
action
list
timestamp
float32
episode_index
int64
frame_index
int64
next.reward
float32
next.done
bool
index
int64
task_index
int64
task_embedding
list
observation.images.image_embedding
list
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[0.311326265335083,0.545987606048584,0.31312617659568787,2.8051891326904297,0.16794919967651367,-0.4(...TRUNCATED)
[0.311326265335083,0.545987606048584,0.31312617659568787,2.8051891326904297,0.16794919967651367,-0.4(...TRUNCATED)
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[1.4277039766311646,0.9543429613113403,-2.613478660583496,-3.023541212081909,1.9415372610092163,-0.8(...TRUNCATED)
[0.32297924160957336,0.5406094193458557,0.3221880793571472,2.774501085281372,0.17664246261119843,-0.(...TRUNCATED)
[0.32297924160957336,0.5406094193458557,0.3221880793571472,2.774501085281372,0.17664246261119843,-0.(...TRUNCATED)
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[1.4768458604812622,0.9129456281661987,-2.465202808380127,-3.182506561279297,1.9309605360031128,-0.8(...TRUNCATED)
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "unknown",
    "total_episodes": 70,
    "total_frames": 1514,
    "total_tasks": 2,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 500,
    "fps": 10,
    "splits": {
        "train": "0:70"
    },
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": null,
    "features": {
        "observation.state": {
            "dtype": "float32",
            "shape": [
                8
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            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6",
                    "motor_7"
                ]
            },
            "fps": 10.0
        },
        "action": {
            "dtype": "float32",
            "shape": [
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            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6"
                ]
            },
            "fps": 10.0
        },
        "timestamp": {
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            "names": null
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        "episode_index": {
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        "frame_index": {
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            "names": null
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        "next.reward": {
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            "shape": [
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            "names": null,
            "fps": 10.0
        },
        "next.done": {
            "dtype": "bool",
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            "names": null,
            "fps": 10.0
        },
        "index": {
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        "task_index": {
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            "names": null
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        "task_embedding": {
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            "shape": [
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            "names": null
        },
        "observation.images.image_embedding": {
            "dtype": "float32",
            "shape": [
                768
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

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