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Datasets:
kantine
/
domotic_groceriesSorting_expert

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
anomaly_detection
domotic
groceries
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
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action
sequence
observation.state
sequence
timestamp
float32
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59.7
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int64
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1.79k
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19
index
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35.8k
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[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.5
75
0
75
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.533333
76
0
76
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.566667
77
0
77
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.6
78
0
78
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.633333
79
0
79
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.666667
80
0
80
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.7
81
0
81
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.733333
82
0
82
0
[ -3.8671875, 190.458984375, 180, 69.609375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.766667
83
0
83
0
[ -3.69140625, 190.37109375, 180, 69.521484375, -0.17578125, -0.09861932694911957 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.8
84
0
84
0
[ -3.69140625, 190.37109375, 180, 69.521484375, -0.17578125, 0 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.833333
85
0
85
0
[ -3.33984375, 190.37109375, 180, 69.609375, -0.17578125, 3.3530571460723877 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.866667
86
0
86
0
[ -2.98828125, 190.458984375, 180, 69.609375, -0.52734375, 3.6489152908325195 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 0.34662044048309326 ]
2.9
87
0
87
0
[ -3.1640625, 190.458984375, 180, 69.609375, -0.615234375, 4.437870025634766 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 1.0398613214492798 ]
2.933333
88
0
88
0
[ -3.515625, 190.546875, 180, 69.697265625, -1.40625, 5.424063205718994 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.439453125, 1.7331022024154663 ]
2.966667
89
0
89
0
[ -3.955078125, 190.546875, 180, 69.609375, -3.251953125, 5.424063205718994 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, 0.3515625, 2.4263432025909424 ]
3
90
0
90
0
[ -4.130859375, 190.546875, 179.82421875, 69.609375, -3.955078125, 5.325443744659424 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, -0.17578125, 3.4662044048309326 ]
3.033333
91
0
91
0
[ -4.130859375, 190.634765625, 179.12109375, 70.13671875, -4.04296875, 5.2268242835998535 ]
[ -2.548828125, 190.1953125, 179.6484375, 68.818359375, -1.142578125, 3.986135244369507 ]
3.066667
92
0
92
0
[ -4.21875, 190.810546875, 178.505859375, 70.3125, -4.04296875, 5.2268242835998535 ]
[ -2.98828125, 190.1953125, 179.6484375, 68.818359375, -1.93359375, 4.246100425720215 ]
3.1
93
0
93
0
[ -4.5703125, 190.8984375, 177.802734375, 70.3125, -3.955078125, 5.2268242835998535 ]
[ -3.603515625, 190.1953125, 179.6484375, 69.2578125, -2.63671875, 4.419410705566406 ]
3.133333
94
0
94
0
[ -4.658203125, 190.8984375, 176.8359375, 70.400390625, -3.8671875, 4.8323469161987305 ]
[ -3.69140625, 190.1953125, 179.12109375, 69.609375, -2.98828125, 4.506065845489502 ]
3.166667
95
0
95
0
[ -4.921875, 191.07421875, 175.25390625, 70.83984375, -3.8671875, 3.155818462371826 ]
[ -3.69140625, 190.107421875, 178.681640625, 69.697265625, -2.900390625, 4.592720985412598 ]
3.2
96
0
96
0
[ -5.537109375, 191.07421875, 173.583984375, 71.103515625, -3.779296875, 0.49309664964675903 ]
[ -3.427734375, 190.1953125, 178.2421875, 69.78515625, -2.900390625, 4.159445285797119 ]
3.233333
97
0
97
0
[ -6.416015625, 191.07421875, 171.650390625, 71.54296875, -3.603515625, -0.09861932694911957 ]
[ -3.33984375, 190.458984375, 177.451171875, 69.873046875, -2.900390625, 3.4662044048309326 ]
3.266667
98
0
98
0
[ -7.119140625, 190.986328125, 169.716796875, 72.0703125, -2.63671875, -0.09861932694911957 ]
[ -4.04296875, 190.72265625, 176.396484375, 70.3125, -2.900390625, 2.599653482437134 ]
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": 20,
    "total_frames": 35836,
    "total_tasks": 1,
    "total_videos": 40,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:20"
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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",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
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        "observation.state": {
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            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
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        },
        "observation.images.logitech_1": {
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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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    }
}

Citation

BibTeX:

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License:
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
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