Search is not available for this dataset
observation.state
sequence
action
sequence
timestamp
float32
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125
episode_index
int64
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569
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next.reward
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[ 0.019690295681357384, 0.00922901276499033, 0.01233359519392252, 0.014257404021918774, 0.0035548836458474398, 0.0010037397732958198, 0 ]
9.6
0
96
0
false
96
0
[ 0.45837903022766113, -0.08060986548662186, 0.5001862049102783, -2.750908136367798, -0.6110384464263916, 0.467020183801651, 0, 0.04311148077249527 ]
[ 0.020459691062569618, 0.009127370081841946, 0.01109469123184681, 0.007068897597491741, 0.013942847028374672, -0.0005474307108670473, 0 ]
9.7
0
97
0
false
97
0
[ 0.4673249423503876, -0.07487802952528, 0.5071971416473389, -2.757633924484253, -0.6106350421905518, 0.46988651156425476, 0, 0.04311148077249527 ]
[ 0.020796362310647964, 0.009784138761460781, 0.009837780147790909, 0.004386590793728828, 0.0383705273270607, 0.007424314972013235, 0 ]
9.8
0
98
0
false
98
0
[ 0.47596070170402527, -0.06843215227127075, 0.5129017233848572, -2.754953622817993, -0.6026540994644165, 0.46999287605285645, 0, 0.04311148077249527 ]
[ 0.016858011484146118, 0.008226251229643822, 0.0069998810067772865, 0.002767004072666168, 0.05841349437832832, 0.02505265176296234, 0 ]
9.9
0
99
0
false
99
0

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 570,
    "total_frames": 358234,
    "total_tasks": 3,
    "total_videos": 1140,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:570"
    },
    "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": [
                240,
                320,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 10.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.wrist_image": {
            "dtype": "video",
            "shape": [
                240,
                320,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 10.0,
                "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": [
                7
            ],
            "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{belkhale2023hydra,
    title={HYDRA: Hybrid Robot Actions for Imitation Learning},
    author={Belkhale, Suneel and Cui, Yuchen and Sadigh, Dorsa},
    journal={arxiv},
    year={2023}
}
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