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observation.state
sequence
action
sequence
timestamp
float32
0
181
episode_index
int64
0
575
frame_index
int64
0
905
next.reward
float32
0
1
next.done
bool
2 classes
index
int64
0
236k
task_index
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43
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[ 0.002473503351211548, 0.002517789602279663, -0.001915574073791504, -0.002205953001976013, -0.0008629802614450455, 1, 0 ]
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[ 0.11788567900657654, -0.30414435267448425, 0.2822161912918091, -2.1344406604766846, 0.02964033931493759, 2.1794662475585938, 0.28626301884651184, 0.08500000089406967 ]
[ 0.0018506050109863281, 0.002157151699066162, -0.0017400383949279785, -0.0020003020763397217, -0.0010472703725099564, 1, 0 ]
19.200001
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[ 0.0018669962882995605, 0.002415865659713745, -0.001797407865524292, -0.0019682347774505615, -0.0013461261987686157, 1, 0 ]
19.4
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[ 0.1223912313580513, -0.2824109196662903, 0.2828682065010071, -2.1205029487609863, 0.02915980853140354, 2.18015718460083, 0.2929542064666748, 0.08500000089406967 ]
[ 0.0013483166694641113, 0.0021237730979919434, -0.0016947686672210693, -0.0017498284578323364, -0.0011347346007823944, 1, 0 ]
19.6
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[ 0.12486115097999573, -0.27393579483032227, 0.282896488904953, -2.1155457496643066, 0.02917010895907879, 2.1807706356048584, 0.2959280014038086, 0.08500000089406967 ]
[ 0.0012989640235900879, 0.0023151040077209473, -0.0017625391483306885, -0.0016678422689437866, -0.0012212060391902924, 1, 0 ]
19.799999
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 576,
    "total_frames": 235922,
    "total_tasks": 44,
    "total_videos": 576,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 5,
    "splits": {
        "train": "0:576"
    },
    "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
            }
        },
        "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:

@inproceedings{chen2023playfusion,
    title={PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play},
    author={Chen, Lili and Bahl, Shikhar and Pathak, Deepak},
    booktitle={CoRL},
    year={2023}
}
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