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SteveNguyen
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sim_grabette_grasp_eval_h264_2

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
sim
grabette
grasp
Libraries:
Datasets
pandas
Polars
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float32
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6.57
frame_index
int64
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7.65k
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2.4
72
0
72
0
[ 0.4632743000984192, -0.03958949074149132, 0.5540323853492737, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -9.645517806640197e-16, 3.368572077535555e-21 ]
2.433333
73
0
73
0
[ 0.4633994698524475, -0.039698369801044464, 0.5506438612937927, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -9.81229118241628e-16, 3.0316393612783292e-21 ]
2.466667
74
0
74
0
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2.5
75
0
75
0
[ 0.4636039435863495, -0.03987618535757065, 0.545109748840332, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.014762940865189e-15, 3.790655323426551e-21 ]
2.533333
76
0
76
0
[ 0.4636799395084381, -0.03994227573275566, 0.5430529713630676, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.0316264139329564e-15, 4.265573317305629e-21 ]
2.566667
77
0
77
0
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2.6
78
0
78
0
[ 0.4637712240219116, -0.04002167284488678, 0.5405818223953247, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.0655126022625751e-15, 5.180714571363441e-21 ]
2.633333
79
0
79
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.0825406114803467e-15, 4.763984371492207e-21 ]
2.666667
80
0
80
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.0993789911970518e-15, 4.1529652784861785e-21 ]
2.7
81
0
81
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.1158444646587281e-15, 3.437862792172684e-21 ]
2.733333
82
0
82
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.1321191439490354e-15, 3.63869440930296e-21 ]
2.766667
83
0
83
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.1483440600536915e-15, 3.478703219330356e-21 ]
2.8
84
0
84
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.1645671762133348e-15, 3.5338181666095364e-21 ]
2.833333
85
0
85
0
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2.866667
86
0
86
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.197028443367435e-15, 2.9813830903559393e-21 ]
2.9
87
0
87
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.2132651120542342e-15, 2.5993476241850495e-21 ]
2.933333
88
0
88
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.2295010395872046e-15, 3.1471237510412836e-21 ]
2.966667
89
0
89
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.2457326260763204e-15, 2.9108049547214893e-21 ]
3
90
0
90
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.2619723652575535e-15, 3.621645118278991e-21 ]
3.033333
91
0
91
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.2782108338893657e-15, 3.5275739223370414e-21 ]
3.066667
92
0
92
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.294447502576165e-15, 3.332888200612485e-21 ]
3.1
93
0
93
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.3106836418673722e-15, 2.9473832610715606e-21 ]
3.133333
94
0
94
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -1.326920734070645e-15, 3.481281696396049e-21 ]
3.166667
95
0
95
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -0.017007919028401375, 0.03681382164359093 ]
3.2
96
0
96
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -0.040462832897901535, 0.08743909746408463 ]
3.233333
97
0
97
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -0.0651158019900322, 0.14060747623443604 ]
3.266667
98
0
98
0
[ 0.46378326416015625, -0.04003213346004486, 0.5402563214302063, -2.296058416366577, 1.5435123443603516, -0.3708913326263428, -0.0899658277630806, 0.19419384002685547 ]
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": "v3.0",
    "robot_type": "openarm_gripette_sim",
    "total_episodes": 40,
    "total_frames": 7650,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 30,
    "splits": {
        "train": "0:40"
    },
    "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",
    "features": {
        "observation.images.cam0": {
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            "shape": [
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            ],
            "names": [
                "channels",
                "height",
                "width"
            ],
            "info": {
                "video.height": 720,
                "video.width": 960,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
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            "names": [
                "x",
                "y",
                "z",
                "ax",
                "ay",
                "az",
                "proximal",
                "distal"
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        "timestamp": {
            "dtype": "float32",
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        "frame_index": {
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        "episode_index": {
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        "index": {
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        },
        "task_index": {
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            "names": null
        }
    }
}

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