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Datasets:
ShadyM
/
hi_five

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
Libraries:
Datasets
Dask
License:
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xet
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action
sequence
observation.state
sequence
timestamp
float32
0
29.9
frame_index
int64
0
897
episode_index
int64
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4
index
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4.49k
task_index
int64
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[ 34.541015625, 193.7109375, 179.736328125, -9.140625, 90.17578125, 57.214935302734375 ]
[ 34.62890625, 192.65625, 179.912109375, -7.646484375, 90.087890625, 7.475317478179932 ]
2.533333
76
0
76
0
[ 34.716796875, 193.7109375, 179.736328125, -9.140625, 90.263671875, 64.68213653564453 ]
[ 34.716796875, 192.65625, 179.912109375, -7.734375, 90.087890625, 9.590972900390625 ]
2.566667
77
0
77
0
[ 35.068359375, 193.7109375, 179.736328125, -9.140625, 90.52734375, 74.06659698486328 ]
[ 34.892578125, 192.65625, 179.912109375, -7.734375, 90.087890625, 11.706628799438477 ]
2.6
78
0
78
0
[ 35.771484375, 193.7109375, 179.736328125, -9.140625, 90.52734375, 81.8365249633789 ]
[ 34.892578125, 192.65625, 179.912109375, -7.734375, 90.087890625, 15.232722282409668 ]
2.633333
79
0
79
0
[ 36.38671875, 193.7109375, 179.736328125, -9.140625, 90.52734375, 87.08375549316406 ]
[ 34.892578125, 192.65625, 179.912109375, -7.734375, 90.087890625, 20.169252395629883 ]
2.666667
80
0
80
0
[ 37.001953125, 193.7109375, 179.736328125, -9.404296875, 90.791015625, 92.73461151123047 ]
[ 34.892578125, 192.65625, 179.912109375, -7.734375, 90.087890625, 26.304655075073242 ]
2.7
81
0
81
0
[ 37.6171875, 193.7109375, 179.736328125, -9.4921875, 91.7578125, 96.77093505859375 ]
[ 35.068359375, 192.65625, 179.912109375, -7.734375, 90.3515625, 33.07475280761719 ]
2.733333
82
0
82
0
[ 37.79296875, 193.7109375, 179.736328125, -9.4921875, 92.197265625, 96.9727554321289 ]
[ 35.859375, 192.65625, 179.912109375, -7.998046875, 90.52734375, 40.267982482910156 ]
2.766667
83
0
83
0
[ 37.353515625, 193.7109375, 179.736328125, -9.4921875, 93.515625, 97.57820129394531 ]
[ 36.650390625, 192.65625, 179.912109375, -8.0859375, 91.142578125, 47.531734466552734 ]
2.8
84
0
84
0
[ 37.001953125, 193.7109375, 179.736328125, -9.755859375, 94.39453125, 97.57820129394531 ]
[ 37.44140625, 192.65625, 179.912109375, -8.0859375, 91.669921875, 54.7249641418457 ]
2.833333
85
0
85
0
[ 36.9140625, 193.7109375, 179.736328125, -10.1953125, 94.39453125, 97.37638854980469 ]
[ 37.44140625, 192.65625, 179.912109375, -8.0859375, 92.109375, 62.41184616088867 ]
2.866667
86
0
86
0
[ 36.826171875, 193.7109375, 179.736328125, -10.37109375, 94.39453125, 97.07366180419922 ]
[ 37.08984375, 192.65625, 179.912109375, -8.0859375, 92.98828125, 70.02820587158203 ]
2.9
87
0
87
0
[ 36.826171875, 193.7109375, 179.736328125, -10.37109375, 94.39453125, 96.9727554321289 ]
[ 36.73828125, 192.65625, 179.912109375, -8.4375, 93.603515625, 77.57405090332031 ]
2.933333
88
0
88
0
[ 36.9140625, 193.7109375, 179.736328125, -10.546875, 94.39453125, 96.9727554321289 ]
[ 36.73828125, 192.65625, 179.912109375, -8.701171875, 93.8671875, 83.77996826171875 ]
2.966667
89
0
89
0
[ 37.08984375, 193.7109375, 179.736328125, -10.634765625, 94.39453125, 96.46821594238281 ]
[ 37.001953125, 192.65625, 179.912109375, -8.7890625, 94.04296875, 88.78702545166016 ]
3
90
0
90
0
[ 37.08984375, 193.7109375, 179.736328125, -10.634765625, 94.39453125, 96.16548919677734 ]
[ 37.08984375, 192.65625, 179.912109375, -8.7890625, 94.04296875, 91.81946563720703 ]
3.033333
91
0
91
0
[ 37.08984375, 193.7109375, 179.736328125, -10.634765625, 94.39453125, 94.65186309814453 ]
[ 37.08984375, 192.65625, 179.912109375, -9.052734375, 94.04296875, 93.15937805175781 ]
3.066667
92
0
92
0
[ 37.08984375, 193.7109375, 179.736328125, -10.72265625, 94.130859375, 92.33097839355469 ]
[ 36.9140625, 192.65625, 179.912109375, -9.140625, 94.04296875, 93.93511962890625 ]
3.1
93
0
93
0
[ 36.826171875, 193.7109375, 179.736328125, -11.07421875, 94.130859375, 88.2946548461914 ]
[ 36.826171875, 192.65625, 179.912109375, -9.140625, 94.04296875, 94.56981658935547 ]
3.133333
94
0
94
0
[ 36.2109375, 193.7109375, 179.736328125, -11.6015625, 93.955078125, 82.24015808105469 ]
[ 36.73828125, 192.65625, 179.912109375, -9.140625, 94.04296875, 94.92242431640625 ]
3.166667
95
0
95
0
[ 35.33203125, 193.7109375, 179.736328125, -12.3046875, 93.251953125, 72.35115814208984 ]
[ 36.826171875, 192.65625, 179.912109375, -9.404296875, 94.04296875, 94.56981658935547 ]
3.2
96
0
96
0
[ 34.189453125, 193.7109375, 179.736328125, -13.18359375, 91.93359375, 57.618568420410156 ]
[ 36.826171875, 192.65625, 179.912109375, -9.66796875, 94.04296875, 92.87728881835938 ]
3.233333
97
0
97
0
[ 32.783203125, 193.7109375, 179.736328125, -13.623046875, 91.669921875, 44.29868698120117 ]
[ 36.826171875, 192.65625, 179.912109375, -9.755859375, 94.04296875, 90.83216094970703 ]
3.266667
98
0
98
0
[ 31.11328125, 193.7109375, 179.736328125, -13.974609375, 91.669921875, 27.74974822998047 ]
[ 36.73828125, 192.65625, 179.912109375, -9.755859375, 94.04296875, 89.77433013916016 ]
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",
    "robot_type": "so100",
    "total_episodes": 5,
    "total_frames": 4486,
    "total_tasks": 1,
    "total_videos": 5,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
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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": {
        "action": {
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            "names": [
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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.cam_high": {
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            "names": [
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            "info": {
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                "video.codec": "av1",
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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": {
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            "names": null
        }
    }
}

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