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aractingi
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push_cube_reward_data_cropped_resized

Tasks:
Robotics
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1K - 10K
Tags:
LeRobot
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next.reward
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[ 29.8828125, 121.2890625, 132.099609375, 49.04296875, 77.16796875, 0.536912739276886 ]
1.4
42
1
71
0
0
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[ 30.146484375, 118.388671875, 129.7265625, 48.1640625, 77.16796875, 0.536912739276886 ]
1.433333
43
1
72
0
0
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[ 30.498046875, 114.78515625, 126.9140625, 47.8125, 77.16796875, 0.536912739276886 ]
1.466667
44
1
73
0
0
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1.5
45
1
74
0
0
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1.533333
46
1
75
0
0
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1.566667
47
1
76
0
0
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1.6
48
1
77
0
0
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1.633333
49
1
78
0
0
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1.666667
50
1
79
0
0
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[ 29.794921875, 90.966796875, 105.380859375, 47.8125, 77.16796875, 0.536912739276886 ]
1.7
51
1
80
0
0
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[ 29.443359375, 87.978515625, 102.392578125, 48.603515625, 77.16796875, 0.536912739276886 ]
1.733333
52
1
81
0
0
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[ 29.00390625, 85.166015625, 99.31640625, 49.39453125, 77.16796875, 0.536912739276886 ]
1.766667
53
1
82
0
0
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[ 28.740234375, 82.353515625, 96.416015625, 50.09765625, 77.16796875, 0.536912739276886 ]
1.8
54
1
83
0
0
[ 27.509765625, 77.783203125, 83.3203125, 53.0859375, 77.34375, 0.536912739276886 ]
[ 28.388671875, 79.98046875, 93.779296875, 50.80078125, 77.16796875, 0.536912739276886 ]
1.833333
55
1
84
0
0
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[ 28.125, 78.134765625, 91.93359375, 51.328125, 77.16796875, 0.536912739276886 ]
1.866667
56
1
85
0
0
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[ 27.861328125, 76.728515625, 90.615234375, 51.85546875, 77.16796875, 0.536912739276886 ]
1.9
57
1
86
0
0
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[ 27.59765625, 75.849609375, 89.912109375, 52.3828125, 77.16796875, 0.536912739276886 ]
1.933333
58
1
87
0
0
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[ 27.333984375, 75.322265625, 89.296875, 52.91015625, 77.16796875, 0.536912739276886 ]
1.966667
59
1
88
0
0
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[ 27.333984375, 75.146484375, 88.9453125, 53.701171875, 77.16796875, 0.536912739276886 ]
2
60
1
89
0
0
[ 27.333984375, 77.51953125, 84.55078125, 58.798828125, 77.34375, 0.536912739276886 ]
[ 27.333984375, 75.05859375, 88.59375, 54.580078125, 77.16796875, 0.536912739276886 ]
2.033333
61
1
90
0
0
[ 27.333984375, 77.51953125, 85.078125, 59.4140625, 77.34375, 0.536912739276886 ]
[ 27.333984375, 75.05859375, 88.59375, 55.634765625, 77.16796875, 0.536912739276886 ]
2.066667
62
1
91
0
0
[ 27.333984375, 77.51953125, 85.60546875, 59.765625, 77.34375, 0.536912739276886 ]
[ 27.333984375, 74.970703125, 88.59375, 56.42578125, 77.16796875, 0.536912739276886 ]
2.1
63
1
92
0
0
[ 27.333984375, 77.51953125, 86.044921875, 59.765625, 77.34375, 0.536912739276886 ]
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2.133333
64
1
93
0
0
[ 27.158203125, 77.34375, 86.1328125, 59.94140625, 77.34375, 0.536912739276886 ]
[ 27.333984375, 74.970703125, 88.59375, 57.744140625, 77.607421875, 0.536912739276886 ]
2.166667
65
1
94
0
0
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[ 27.333984375, 74.970703125, 88.59375, 57.919921875, 77.6953125, 0.536912739276886 ]
2.2
66
1
95
0
0
[ 26.806640625, 76.9921875, 86.1328125, 60.64453125, 77.34375, 0.536912739276886 ]
[ 27.333984375, 74.970703125, 88.59375, 57.919921875, 77.6953125, 0.536912739276886 ]
2.233333
67
1
96
0
0
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2.266667
68
1
97
0
0
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[ 27.24609375, 74.794921875, 88.59375, 58.623046875, 77.783203125, 0.536912739276886 ]
2.3
69
1
98
0
0
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[ 27.158203125, 74.53125, 88.505859375, 58.974609375, 77.783203125, 0.536912739276886 ]
2.333333
70
1
99
0
End of preview. Expand in Dataset Viewer.

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "so100",
    "total_episodes": 20,
    "total_frames": 5152,
    "total_tasks": 1,
    "total_videos": 40,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
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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_shoulder_lift",
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    }
}

Citation

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