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Datasets:
changhyeon743
/
fan-2

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
< 1K
Tags:
LeRobot
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pandas
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action
sequence
observation.state
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timestamp
float32
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int64
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2.5
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2.6
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2.9
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3
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3.1
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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": 1,
    "total_frames": 300,
    "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": {
        "action": {
            "dtype": "float32",
            "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": [
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            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
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            "names": [
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                "width",
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            "info": {
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                "video.width": 1920,
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                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
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                "video.channels": 3,
                "has_audio": false
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        "timestamp": {
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        "frame_index": {
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        "episode_index": {
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        "index": {
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        "task_index": {
            "dtype": "int64",
            "shape": [
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            "names": null
        }
    }
}

Citation

BibTeX:

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Size of the auto-converted Parquet files:
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Number of rows:
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