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Datasets:
kirdo
/
4_test

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
Libraries:
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pandas
License:
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xet
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action
sequence
observation.state
sequence
timestamp
float32
0
59.7
frame_index
int64
0
1.79k
episode_index
int64
0
0
index
int64
0
1.79k
task_index
int64
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[ -9.4921875, 75.9375, 101.42578125, 30.5859375, -75.9375, 63.430423736572266 ]
[ -8.7890625, 76.11328125, 102.12890625, 34.365234375, -77.607421875, 63.47765350341797 ]
2.433333
73
0
73
0
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[ -8.7890625, 75.849609375, 102.12890625, 33.22265625, -76.9921875, 63.47765350341797 ]
2.466667
74
0
74
0
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2.5
75
0
75
0
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2.533333
76
0
76
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2.566667
77
0
77
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2.6
78
0
78
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2.633333
79
0
79
0
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2.666667
80
0
80
0
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[ -10.986328125, 70.224609375, 102.12890625, 25.48828125, -73.388671875, 63.47765350341797 ]
2.7
81
0
81
0
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2.733333
82
0
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0
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2.766667
83
0
83
0
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2.8
84
0
84
0
[ -12.919921875, 69.08203125, 101.07421875, 21.884765625, -72.509765625, 64.72491455078125 ]
[ -11.42578125, 68.73046875, 102.12890625, 22.939453125, -72.7734375, 63.47765350341797 ]
2.833333
85
0
85
0
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2.866667
86
0
86
0
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[ -12.3046875, 68.5546875, 102.12890625, 22.67578125, -72.685546875, 64.17597198486328 ]
2.9
87
0
87
0
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2.933333
88
0
88
0
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2.966667
89
0
89
0
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[ -13.0078125, 69.521484375, 103.095703125, 22.587890625, -69.873046875, 65.29329681396484 ]
3
90
0
90
0
[ -12.919921875, 77.958984375, 103.447265625, 25.3125, -65.7421875, 65.04854583740234 ]
[ -12.83203125, 70.576171875, 103.359375, 23.02734375, -68.466796875, 65.36312866210938 ]
3.033333
91
0
91
0
[ -13.0078125, 79.27734375, 103.53515625, 26.54296875, -65.126953125, 65.04854583740234 ]
[ -12.568359375, 71.806640625, 103.359375, 23.642578125, -67.5, 65.36312866210938 ]
3.066667
92
0
92
0
[ -13.095703125, 80.244140625, 103.53515625, 27.59765625, -64.951171875, 65.04854583740234 ]
[ -12.48046875, 73.30078125, 103.359375, 24.43359375, -66.796875, 65.36312866210938 ]
3.1
93
0
93
0
[ -13.18359375, 81.123046875, 103.53515625, 28.4765625, -64.6875, 64.94066619873047 ]
[ -12.48046875, 74.8828125, 103.7109375, 25.48828125, -66.09375, 65.36312866210938 ]
3.133333
94
0
94
0
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[ -12.744140625, 76.025390625, 103.7109375, 26.455078125, -65.654296875, 65.36312866210938 ]
3.166667
95
0
95
0
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[ -12.919921875, 76.9921875, 103.7109375, 27.421875, -65.21484375, 65.29329681396484 ]
3.2
96
0
96
0
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[ -13.095703125, 77.783203125, 103.7109375, 28.212890625, -64.86328125, 65.22346496582031 ]
3.233333
97
0
97
0
[ -12.3046875, 83.935546875, 105.1171875, 29.619140625, -64.3359375, 64.83279418945312 ]
[ -13.095703125, 78.57421875, 103.88671875, 28.740234375, -64.775390625, 65.22346496582031 ]
3.266667
98
0
98
0
[ -11.953125, 84.814453125, 105.8203125, 29.619140625, -64.3359375, 64.83279418945312 ]
[ -13.095703125, 79.453125, 104.58984375, 29.091796875, -64.775390625, 65.22346496582031 ]
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": 1,
    "total_frames": 1791,
    "total_tasks": 1,
    "total_videos": 1,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:1"
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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": {
            "dtype": "float32",
            "shape": [
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            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
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            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.images.laptop": {
            "dtype": "video",
            "shape": [
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                640,
                3
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            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "h264",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
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        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
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            "names": null
        },
        "frame_index": {
            "dtype": "int64",
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            "names": null
        },
        "episode_index": {
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            "names": null
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        "index": {
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        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            ],
            "names": null
        }
    }
}

Citation

BibTeX:

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