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so100_test_1

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action
sequence
observation.state
sequence
timestamp
float32
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19.9
frame_index
int64
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597
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int64
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1
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task_index
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2.2
66
0
66
0
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2.233333
67
0
67
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2.266667
68
0
68
0
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[ -8.701171875, 170.419921875, 150.99609375, 50.625, 89.47265625, 47.60274124145508 ]
2.3
69
0
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2.333333
70
0
70
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2.366667
71
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71
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[ -9.31640625, 169.716796875, 152.314453125, 46.0546875, 88.41796875, 47.60274124145508 ]
2.4
72
0
72
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2.433333
73
0
73
0
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2.466667
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0
74
0
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2.5
75
0
75
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2.533333
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2.566667
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2.6
78
0
78
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2.633333
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2.666667
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2.7
81
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2.733333
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2.766667
83
0
83
0
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2.8
84
0
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2.833333
85
0
85
0
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2.866667
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[ -11.6015625, 163.30078125, 157.8515625, 30.41015625, 86.484375, 47.60274124145508 ]
2.9
87
0
87
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2.933333
88
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2.966667
89
0
89
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[ -11.513671875, 161.015625, 158.994140625, 25.3125, 85.517578125, 47.60274124145508 ]
3
90
0
90
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3.033333
91
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3.066667
92
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[ -12.48046875, 157.5, 160.83984375, 19.072265625, 85.078125, 47.60274124145508 ]
3.1
93
0
93
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3.133333
94
0
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3.166667
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3.2
96
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0
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3.233333
97
0
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3.266667
98
0
98
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3.3
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "so100",
    "total_episodes": 2,
    "total_frames": 1196,
    "total_tasks": 1,
    "total_videos": 4,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:2"
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    "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": {
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                "main_wrist_roll",
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        "observation.state": {
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            "names": [
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                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
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        },
        "observation.images.laptop": {
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    }
}

Citation

BibTeX:

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