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observation.state
sequence
action
sequence
timestamp
float32
0
165
episode_index
int64
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frame_index
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next.reward
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 50,
    "total_frames": 34112,
    "total_tasks": 1,
    "total_videos": 100,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 5,
    "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": {
        "observation.images.image": {
            "dtype": "video",
            "shape": [
                128,
                128,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 5.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.wrist_image": {
            "dtype": "video",
            "shape": [
                128,
                128,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 5.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
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            }
        },
        "language_instruction": {
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            "names": null
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        "observation.state": {
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            "shape": [
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            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6",
                    "motor_7",
                    "motor_8",
                    "motor_9",
                    "motor_10",
                    "motor_11",
                    "motor_12",
                    "motor_13",
                    "motor_14",
                    "motor_15",
                    "motor_16",
                    "motor_17",
                    "motor_18",
                    "motor_19",
                    "motor_20",
                    "motor_21",
                    "motor_22",
                    "motor_23"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
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            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6"
                ]
            }
        },
        "timestamp": {
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        "episode_index": {
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        "frame_index": {
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        "next.reward": {
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        "next.done": {
            "dtype": "bool",
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            "names": null
        },
        "index": {
            "dtype": "int64",
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                1
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        },
        "task_index": {
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            "names": null
        }
    }
}

Citation

BibTeX:

@article{zhu2022bottom,
    title={Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation},
    author={Zhu, Yifeng and Stone, Peter and Zhu, Yuke},
    journal={IEEE Robotics and Automation Letters},
    volume={7},
    number={2},
    pages={4126--4133},
    year={2022},
    publisher={IEEE}
}
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