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float32
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39.1
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int64
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1.17k
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169
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2.6
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2.8
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2.9
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3
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3.066667
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3.1
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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

Merged LeRobot Dataset

This dataset was created by merging multiple LeRobot datasets using the LeRobot Data Studio merge tool.

Source Datasets

This merged dataset combines the following 3 datasets:

Merge Details

  • Merge Date: Generated automatically
  • Source Count: 3 datasets
  • Episode Renumbering: Episodes are renumbered sequentially starting from 0

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "so100_follower",
    "total_episodes": 170,
    "total_frames": 105829,
    "total_tasks": 1,
    "total_videos": 0,
    "total_chunks": 0,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:170"
    },
    "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": [
                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.context": {
            "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,
                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
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

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Models trained or fine-tuned on Philmat/picko-v17