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float32
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9.63
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int64
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289
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3.3
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End of preview. Expand in Data Studio

This dataset was created using SO-ARM101 (https://github.com/TheRobotStudio/SO-ARM100/tree/main), along with the LeLab GUI (https://github.com/huggingface/leLab). At the time of recording, LeLab is only available for the SO-101 Arm hardware.

Dataset Description

This dataset features 39 episodes of the s101 follower arm, instructed through teleoperation. It's aim is to place the blue cube into the dixie bowl, ideally from a variety of starting positions.

  • Homepage:
  • License: apache-2.0

Dataset Structure

info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "action": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ]
        },
        "observation.images.top": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "observation.images.wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
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            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
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                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "timestamp": {
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        },
        "frame_index": {
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            "shape": [
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            "names": null
        },
        "episode_index": {
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            "names": null
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        "index": {
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            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            "names": null
        }
    },
    "total_episodes": 39,
    "total_frames": 8484,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "so_follower",
    "splits": {
        "train": "0:39"
    }
}

Citation

BibTeX:

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