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observation.state
sequence
action
sequence
timestamp
float32
episode_index
int64
frame_index
int64
next.reward
float32
next.done
bool
index
int64
task_index
int64
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0.2
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1
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false
1
0
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0.4
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false
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0.6
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false
3
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0.8
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1
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1.2
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6
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6
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1.4
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1.6
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1.8
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2
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10
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2.2
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2.4
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12
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false
12
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2.6
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2.8
0
14
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false
14
0
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3
0
15
0
false
15
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3.2
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16
0
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3.4
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17
0
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3.6
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18
0
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3.8
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4
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4.2
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21
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4.4
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4.6
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4.8
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5
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5.2
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5.4
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5.6
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5.8
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6
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6.2
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6.6
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6.8
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7
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7.2
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7.4
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7.6
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7.8
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8
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8.2
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8.4
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1
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5.4
1
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5.6
1
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false
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5.8
1
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false
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6
1
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6.2
1
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6.4
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6.6
1
33
0
false
94
1
[ 0.3980209529399872, -0.08960887789726257, 0.183298721909523, 0.007488850504159927, -0.003666684729978442, -1.162433385848999, 0, 0.045326415449380875 ]
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6.8
1
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95
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7
1
35
0
false
96
1
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[ 0.000023037195205688477, 0.00001609325408935547, 0.000048220157623291016, 0.0000024786043013591552, 0.00013775558909401298, -0.00004383158739074133, 0.003667481243610382 ]
7.2
1
36
0
false
97
1
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7.4
1
37
0
false
98
1
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[ 0.0000025331974029541016, 0.0000027120113372802734, 8.940696716308594e-7, 0.000011319063560222276, 0.000010445029147376772, 3.4008053262368776e-7, 0.00020422041416168213 ]
7.6
1
38
0
false
99
1

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 2460,
    "total_frames": 112980,
    "total_tasks": 9,
    "total_videos": 9840,
    "total_chunks": 3,
    "chunks_size": 1000,
    "fps": 5,
    "splits": {
        "train": "0:2460"
    },
    "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_1": {
            "dtype": "video",
            "shape": [
                256,
                256,
                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.image_2": {
            "dtype": "video",
            "shape": [
                256,
                256,
                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.image_4": {
            "dtype": "video",
            "shape": [
                256,
                256,
                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.image_3": {
            "dtype": "video",
            "shape": [
                256,
                256,
                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
            }
        },
        "language_instruction": {
            "dtype": "string",
            "shape": [
                1
            ],
            "names": null
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": {
                "motors": [
                    "motor_0",
                    "motor_1",
                    "motor_2",
                    "motor_3",
                    "motor_4",
                    "motor_5",
                    "motor_6",
                    "motor_7"
                ]
            }
        },
        "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": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "next.reward": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

@article{shi2023robocook,
    title={RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools},
    author={Shi, Haochen and Xu, Huazhe and Clarke, Samuel and Li, Yunzhu and Wu, Jiajun},
    journal={arXiv preprint arXiv:2306.14447},
    year={2023}
}
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