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Datasets:
Deason11
/
put_the_ambrosial_yogurt_bottle_into_the_box_merge

Tasks:
Robotics
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Tabular
Time-series
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parquet
Size:
10K - 100K
Tags:
LeRobot
Merge
hdf5
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Dask
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observation.state
list
action
list
timestamp
float32
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29.2
frame_index
int64
0
729
episode_index
int64
0
153
index
int64
0
58.8k
task_index
int64
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1.8
45
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1.84
46
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1.88
47
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1.92
48
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1.96
49
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2
50
0
50
0
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2.04
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2.08
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2.12
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2.16
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2.2
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2.24
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2.28
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2.32
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2.36
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2.4
60
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2.44
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2.48
62
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2.52
63
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2.56
64
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2.6
65
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2.64
66
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66
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2.68
67
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67
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2.72
68
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0
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2.76
69
0
69
0
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2.8
70
0
70
0
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2.84
71
0
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2.88
72
0
72
0
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2.92
73
0
73
0
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2.96
74
0
74
0
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3
75
0
75
0
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3.04
76
0
76
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3.08
77
0
77
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3.12
78
0
78
0
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3.16
79
0
79
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3.2
80
0
80
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3.24
81
0
81
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3.28
82
0
82
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3.32
83
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3.36
84
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3.4
85
0
85
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3.44
86
0
86
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3.48
87
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3.52
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3.56
89
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3.6
90
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3.64
91
0
91
0
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3.68
92
0
92
0
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3.72
93
0
93
0
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3.76
94
0
94
0
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3.8
95
0
95
0
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3.84
96
0
96
0
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3.88
97
0
97
0
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3.92
98
0
98
0
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[ 0.0008123402949422598, 1.7802271842956543, -0.9049758315086365, -0.2699202597141266, -0.705768883228302, -0.43070489168167114, 0.08176977932453156 ]
3.96
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "unknown",
    "total_episodes": 154,
    "total_frames": 58827,
    "total_tasks": 1,
    "total_videos": 308,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 25,
    "splits": {
        "train": "0:154"
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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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        "action": {
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        },
        "observation.images.pikaGripperDepthCamera": {
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            "names": [
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            "info": {
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                "video.width": 640,
                "video.codec": "av1",
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        "observation.images.pikaGripperFisheyeCamera": {
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        "timestamp": {
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        "frame_index": {
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        "episode_index": {
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        "index": {
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            "names": null
        }
    }
}

Citation

BibTeX:

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License:
apache-2.0
Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
58,827