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Datasets:
aytsaiusc
/
play_robot_v2_4

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
tutorial
Libraries:
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pandas
Polars
License:
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xet
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observation.state
list
timestamp
float32
0
598
frame_index
int64
0
17.9k
episode_index
int64
0
0
index
int64
0
17.9k
task_index
int64
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46
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1.6
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1.633333
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1.666667
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50
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1.7
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1.733333
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1.766667
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1.8
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1.833333
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1.9
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1.933333
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1.966667
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2
60
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2.033333
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2.066667
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2.1
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2.133333
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2.166667
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2.2
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2.233333
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2.3
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2.333333
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2.366667
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2.4
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2.433333
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2.466667
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2.5
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2.533333
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2.566667
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2.6
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2.633333
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2.666667
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2.7
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2.733333
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2.8
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2.833333
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2.9
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3
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3.033333
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3.066667
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[ 0.001716639962978661, 1.7980849742889404, 0.1653696447610855, 1.420424222946167, -0.004005493130534887, 0.004005493130534887, 0.000027427449822425842 ]
3.1
93
0
93
0
[ -0.000048599657020531595, 1.8013538122177124, 0.17705439031124115, 1.4216105937957764, -0.0065707010217010975, 0.00518655963242054, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.7980849742889404, 0.1657511293888092, 1.4200427532196045, -0.004005493130534887, 0.004005493130534887, 0.000027427449822425842 ]
3.133333
94
0
94
0
[ -0.000037970577977830544, 1.8021906614303589, 0.17873412370681763, 1.4207706451416016, -0.006560329347848892, 0.005188716575503349, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.7980849742889404, 0.1657511293888092, 1.4200427532196045, -0.004386968910694122, 0.004005493130534887, 0.00003076530992984772 ]
3.166667
95
0
95
0
[ -0.00002763326483545825, 1.8030176162719727, 0.1803692877292633, 1.4199658632278442, -0.00655024079605937, 0.00519081624224782, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.798466444015503, 0.1661325991153717, 1.4192798137664795, -0.004005493130534887, 0.004005493130534887, 0.00003076530992984772 ]
3.2
96
0
96
0
[ -0.000016023132047848776, 1.8038667440414429, 0.18219324946403503, 1.418992280960083, -0.00653889961540699, 0.005193160846829414, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.798466444015503, 0.1668955534696579, 1.41775381565094, -0.004005493130534887, 0.004005493130534887, 0.00003076530992984772 ]
3.233333
97
0
97
0
[ 0.0022005813661962748, 1.8047947883605957, 0.18407244980335236, 1.4180465936660767, -0.004367772024124861, 0.005639361683279276, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.799229383468628, 0.1684214472770691, 1.4166094064712524, -0.004005493130534887, 0.004005493130534887, 0.00003076530992984772 ]
3.266667
98
0
98
0
[ 0.0058805993758141994, 1.8058277368545532, 0.18614058196544647, 1.4170169830322266, -0.0007632303750142455, 0.006380101200193167, 0.000025033950805664062 ]
[ 0.001716639962978661, 1.7996108531951904, 0.17071031033992767, 1.41622793674469, -0.004005493130534887, 0.004005493130534887, 0.00003076530992984772 ]
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": "v2.1",
    "trossen_subversion": "v1.0",
    "robot_type": "trossen_ai_stationary",
    "total_episodes": 0,
    "total_frames": 0,
    "total_tasks": 0,
    "total_videos": 0,
    "total_chunks": 0,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {},
    "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": {
        "action": {
            "dtype": "float32",
            "shape": [
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            "names": [
                "right_joint_0",
                "right_joint_1",
                "right_joint_2",
                "right_joint_3",
                "right_joint_4",
                "right_joint_5",
                "right_joint_6"
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        },
        "observation.state": {
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            "names": [
                "right_joint_0",
                "right_joint_1",
                "right_joint_2",
                "right_joint_3",
                "right_joint_4",
                "right_joint_5",
                "right_joint_6"
            ]
        },
        "observation.images.cam_high": {
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            "shape": [
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            ],
            "names": [
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                "channels"
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            "info": null
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        "observation.images.cam_right_wrist": {
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            "names": [
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                "channels"
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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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        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            "names": null
        }
    }
}

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