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Datasets:
codenmood
/
so101_camera_dataset_0045

Tasks:
Robotics
Modalities:
Image
Time-series
Formats:
parquet
Size:
< 1K
Tags:
LeRobot
Libraries:
Datasets
pandas
Polars
License:
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image
imagewidth (px)
640
640
image_depth
imagewidth (px)
640
640
wrist_image
imagewidth (px)
640
640
wrist_image_depth
imagewidth (px)
640
640
state
list
actions
list
timestamp
float32
0
19.9
frame_index
int64
0
299
episode_index
int64
0
0
index
int64
0
299
task_index
int64
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0
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3.6
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3.666667
55
0
55
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3.733333
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3.8
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57
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3.866667
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3.933333
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59
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[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
4
60
0
60
0
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4.066667
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61
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4.133333
62
0
62
0
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[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
4.2
63
0
63
0
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4.266667
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64
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4.333333
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65
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4.4
66
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66
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4.466667
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67
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4.533333
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68
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[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
4.6
69
0
69
0
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4.666667
70
0
70
0
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4.733333
71
0
71
0
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4.8
72
0
72
0
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4.866667
73
0
73
0
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4.933333
74
0
74
0
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5
75
0
75
0
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[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
5.066667
76
0
76
0
[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
5.133333
77
0
77
0
[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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5.2
78
0
78
0
[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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5.266667
79
0
79
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5.333333
80
0
80
0
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5.4
81
0
81
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5.466667
82
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82
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5.533333
83
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83
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5.6
84
0
84
0
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5.666667
85
0
85
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5.733333
86
0
86
0
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5.8
87
0
87
0
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5.866667
88
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5.933333
89
0
89
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6
90
0
90
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6.066667
91
0
91
0
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6.133333
92
0
92
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6.2
93
0
93
0
[ 0.5714285969734192, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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6.266667
94
0
94
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[ 0.48351648449897766, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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6.333333
95
0
95
0
[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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6.4
96
0
96
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6.466667
97
0
97
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[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
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6.533333
98
0
98
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[ 0.3956044018268585, -28.96703338623047, 60.79121017456055, -27.25274658203125, -13.934065818786621, 2.2067363262176514 ]
[ 0.3076923191547394, -28.52747344970703, 71.9120864868164, -28.439559936523438, -13.406593322753906, 1.5717092752456665 ]
6.6
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 15,
    "features": {
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                "is_depth_map": true,
                "depth_unit": "mm"
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        "state": {
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            "names": [
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        "task_index": {
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    "total_episodes": 1,
    "total_frames": 300,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": null,
    "robot_type": "so_follower",
    "splits": {
        "train": "0:1"
    }
}

Citation

BibTeX:

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License:
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Total file size:
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