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This dataset is in lerobot format, collected via the script of https://github.com/ARISE-Initiative/robosuite/blob/master/robosuite/scripts/collect_human_demonstrations.py from robosuite repo. The manual control device is keyboard. 50 trajectories in total.

related issue : https://github.com/ARISE-Initiative/robosuite/issues/776 fyi.

This dataset is ready for downsteam VLA training like openpi, openvla and gr00t.


license: apache-2.0 task_categories: - robotics tags: - LeRobot - libero - panda - rlds configs: - config_name: default data_files: data//.parquet

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "panda",
    "total_episodes": 50,
    "total_frames": 2524,
    "total_tasks": 1,
    "total_videos": 0,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:50"
    },
    "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": {
        "image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        },
        "wrist_image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        },
        "state": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": [
                "state"
            ]
        },
        "actions": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "actions"
            ]
        },
        "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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