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Datasets:
VibeCuisine
/
jetson1-060926

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
< 1K
Tags:
LeRobot
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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action
list
observation.state
list
timestamp
float32
0
7.4
frame_index
int64
0
148
episode_index
int64
0
0
index
int64
0
148
task_index
int64
0
0
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2.65
53
0
53
0
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2.7
54
0
54
0
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2.75
55
0
55
0
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2.8
56
0
56
0
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2.85
57
0
57
0
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2.9
58
0
58
0
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2.95
59
0
59
0
[ -9.09890079498291, -61.978023529052734, 87.86813354492188, 39.120880126953125, -99.42857360839844, 3.028118133544922, 0 ]
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3
60
0
60
0
[ -9.09890079498291, -63.120880126953125, 88.92308044433594, 39.120880126953125, -99.42857360839844, 3.028118133544922, 0 ]
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3.05
61
0
61
0
[ -9.186813354492188, -65.23076629638672, 90.94505310058594, 39.120880126953125, -99.42857360839844, 3.028118133544922, 0 ]
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3.1
62
0
62
0
[ -9.186813354492188, -67.86813354492188, 93.67032623291016, 39.120880126953125, -99.42857360839844, 3.028118133544922, 0 ]
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3.15
63
0
63
0
[ -9.09890079498291, -70.5934066772461, 96.13186645507812, 39.120880126953125, -99.51648712158203, 3.028118133544922, 0 ]
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3.2
64
0
64
0
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[ -8.79120922088623, -69.45054626464844, 90.5054931640625, 36.83516311645508, -99.29669952392578, 4, -0.4395604431629181 ]
3.25
65
0
65
0
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3.3
66
0
66
0
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3.35
67
0
67
0
[ -9.01098918914795, -76.3956069946289, 96.92308044433594, 40.263736724853516, -99.34066009521484, 3.028118133544922, 0 ]
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3.4
68
0
68
0
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3.45
69
0
69
0
[ -9.09890079498291, -76.65933990478516, 96.92308044433594, 40.35165023803711, -99.34066009521484, 3.028118133544922, 0 ]
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3.5
70
0
70
0
[ -9.186813354492188, -76.65933990478516, 96.92308044433594, 40.43955993652344, -99.34066009521484, 3.028118133544922, 0 ]
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3.55
71
0
71
0
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3.6
72
0
72
0
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3.65
73
0
73
0
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3.7
74
0
74
0
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3.75
75
0
75
0
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3.8
76
0
76
0
[ -9.362637519836426, -81.4065933227539, 96.92308044433594, 55.47252655029297, -99.42857360839844, 3.028118133544922, 0 ]
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3.85
77
0
77
0
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3.9
78
0
78
0
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3.95
79
0
79
0
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4
80
0
80
0
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4.05
81
0
81
0
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4.1
82
0
82
0
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4.15
83
0
83
0
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4.2
84
0
84
0
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4.25
85
0
85
0
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4.3
86
0
86
0
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4.35
87
0
87
0
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4.4
88
0
88
0
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4.45
89
0
89
0
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4.5
90
0
90
0
[ -9.274724960327148, -83.34066009521484, 97.010986328125, 63.29670333862305, -99.42857360839844, 3.028118133544922, 0 ]
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4.55
91
0
91
0
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4.6
92
0
92
0
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4.65
93
0
93
0
[ -9.274724960327148, -83.34066009521484, 97.010986328125, 63.29670333862305, -99.42857360839844, 3.028118133544922, 0 ]
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4.7
94
0
94
0
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4.75
95
0
95
0
[ -9.274724960327148, -83.34066009521484, 97.010986328125, 63.29670333862305, -99.42857360839844, 3.028118133544922, 0 ]
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4.8
96
0
96
0
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4.85
97
0
97
0
[ -9.274724960327148, -83.34066009521484, 97.010986328125, 63.29670333862305, -99.42857360839844, 3.028118133544922, 0 ]
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4.9
98
0
98
0
[ -9.274724960327148, -83.34066009521484, 97.010986328125, 63.29670333862305, -99.42857360839844, 3.028118133544922, 0 ]
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4.95
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

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    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "vibeboard_follower_tilt",
    "splits": {
        "train": "0:1"
    }
}

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