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Datasets:
Askel1419
/
so101_3_cup_no4

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
100K - 1M
Tags:
LeRobot
so101
tutorial
Libraries:
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Dask
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list
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float32
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29.5
frame_index
int64
0
886
episode_index
int64
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114
index
int64
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2
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2.3
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2.333333
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2.366667
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2.4
72
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2.433333
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2.5
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2.533333
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2.566667
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2.6
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2.633333
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2.666667
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2.7
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2.766667
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2.8
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2.833333
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2.866667
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2.9
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2.933333
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2.966667
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3
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3.033333
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3.066667
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3.1
93
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3.133333
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3.166667
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3.2
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3.233333
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3.266667
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3.3
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End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "so101_follower",
    "total_episodes": 115,
    "total_frames": 101858,
    "total_tasks": 1,
    "total_videos": 230,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:115"
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    "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": {
        "action": {
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            "shape": [
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            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "observation.state": {
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            "shape": [
                6
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            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "observation.images.main": {
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            "shape": [
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            "names": [
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        "observation.images.secondary": {
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            "names": [
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            "info": {
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        "timestamp": {
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        "frame_index": {
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        "episode_index": {
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        "task_index": {
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            "names": null
        }
    }
}

Citation

BibTeX:

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Downloads last month
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License:
apache-2.0
Size of downloaded dataset files:
3.33 MB
Size of the auto-converted Parquet files:
3.33 MB
Number of rows:
101,858

Models trained or fine-tuned on Askel1419/so101_3_cup_no4