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Datasets:
Jeevesh2009
/
so101_gray_block_lowvar_test

Tasks:
Robotics
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10K - 100K
Tags:
LeRobot
so101
tutorial
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sequence
observation.state
sequence
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float32
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int64
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495
episode_index
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index
int64
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39.2k
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[ 5.888671875, 189.140625, 176.484375, 46.669921875, -13.359375, 0.9052925109863281 ]
2.4
72
0
72
0
[ 10.107421875, 196.5234375, 175.166015625, 50.2734375, -21.796875, 0.33003300428390503 ]
[ 6.767578125, 189.140625, 176.484375, 46.845703125, -16.171875, 0.9052925109863281 ]
2.433333
73
0
73
0
[ 12.568359375, 196.5234375, 173.935546875, 50.537109375, -17.666015625, 0.33003300428390503 ]
[ 7.119140625, 189.140625, 176.30859375, 47.4609375, -18.896484375, 0.9052925109863281 ]
2.466667
74
0
74
0
[ 13.095703125, 196.5234375, 173.056640625, 50.537109375, -17.490234375, 0.33003300428390503 ]
[ 7.91015625, 189.140625, 175.78125, 48.603515625, -20.302734375, 0.9052925109863281 ]
2.5
75
0
75
0
[ 13.095703125, 196.5234375, 172.08984375, 50.80078125, -16.962890625, 0.33003300428390503 ]
[ 9.580078125, 189.140625, 175.166015625, 49.39453125, -19.86328125, 0.9749303460121155 ]
2.533333
76
0
76
0
[ 13.095703125, 196.435546875, 171.03515625, 51.50390625, -16.435546875, 0.33003300428390503 ]
[ 11.337890625, 189.140625, 174.7265625, 49.921875, -18.720703125, 0.835654616355896 ]
2.566667
77
0
77
0
[ 12.919921875, 196.435546875, 169.62890625, 52.55859375, -16.435546875, 0.24752475321292877 ]
[ 11.953125, 189.140625, 173.84765625, 50.361328125, -17.841796875, 0.7660167217254639 ]
2.6
78
0
78
0
[ 12.392578125, 196.435546875, 167.958984375, 54.052734375, -16.435546875, 0.33003300428390503 ]
[ 12.12890625, 189.140625, 173.14453125, 50.888671875, -17.40234375, 0.7660167217254639 ]
2.633333
79
0
79
0
[ 12.12890625, 196.34765625, 166.46484375, 55.37109375, -16.259765625, 0.5775577425956726 ]
[ 12.041015625, 189.140625, 172.353515625, 51.591796875, -17.2265625, 0.7660167217254639 ]
2.666667
80
0
80
0
[ 11.42578125, 196.259765625, 164.70703125, 56.953125, -16.171875, 0.9075908064842224 ]
[ 11.865234375, 189.140625, 171.73828125, 52.646484375, -17.138671875, 0.7660167217254639 ]
2.7
81
0
81
0
[ 10.986328125, 196.083984375, 163.037109375, 58.359375, -15.64453125, 0.9900990128517151 ]
[ 11.77734375, 189.140625, 171.123046875, 53.7890625, -17.05078125, 0.7660167217254639 ]
2.733333
82
0
82
0
[ 10.458984375, 195.29296875, 161.3671875, 59.501953125, -15.29296875, 1.0726072788238525 ]
[ 11.77734375, 189.140625, 170.419921875, 54.84375, -16.787109375, 0.7660167217254639 ]
2.766667
83
0
83
0
[ 10.1953125, 193.7109375, 160.224609375, 59.58984375, -15.029296875, 1.0726072788238525 ]
[ 11.77734375, 189.140625, 169.453125, 56.25, -16.435546875, 0.7660167217254639 ]
2.8
84
0
84
0
[ 10.283203125, 191.77734375, 159.521484375, 58.974609375, -15.029296875, 1.0726072788238525 ]
[ 11.42578125, 189.140625, 168.22265625, 57.48046875, -15.908203125, 0.7660167217254639 ]
2.833333
85
0
85
0
[ 10.1953125, 189.140625, 158.818359375, 58.359375, -15.029296875, 1.0726072788238525 ]
[ 10.72265625, 189.140625, 166.904296875, 58.271484375, -15.556640625, 0.7660167217254639 ]
2.866667
86
0
86
0
[ 10.107421875, 186.416015625, 157.939453125, 57.744140625, -15.029296875, 1.0726072788238525 ]
[ 10.37109375, 188.96484375, 165.849609375, 58.447265625, -15.732421875, 0.7660167217254639 ]
2.9
87
0
87
0
[ 10.01953125, 183.603515625, 156.884765625, 57.041015625, -15.029296875, 1.0726072788238525 ]
[ 10.37109375, 188.61328125, 164.8828125, 58.447265625, -15.556640625, 0.7660167217254639 ]
2.933333
88
0
88
0
[ 9.931640625, 181.142578125, 155.478515625, 56.77734375, -15.029296875, 1.0726072788238525 ]
[ 10.810546875, 188.0859375, 163.916015625, 58.447265625, -15.46875, 0.7660167217254639 ]
2.966667
89
0
89
0
[ 9.931640625, 179.12109375, 153.896484375, 56.77734375, -14.94140625, 1.0726072788238525 ]
[ 10.8984375, 187.03125, 163.037109375, 58.447265625, -15.29296875, 0.7660167217254639 ]
3
90
0
90
0
[ 9.404296875, 177.36328125, 152.40234375, 56.865234375, -14.94140625, 1.0726072788238525 ]
[ 10.72265625, 185.2734375, 162.0703125, 58.271484375, -15.205078125, 0.7660167217254639 ]
3.033333
91
0
91
0
[ 9.140625, 175.95703125, 150.8203125, 56.953125, -14.765625, 1.0726072788238525 ]
[ 10.283203125, 183.515625, 160.6640625, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.066667
92
0
92
0
[ 8.701171875, 174.638671875, 149.501953125, 56.953125, -14.677734375, 1.0726072788238525 ]
[ 9.66796875, 181.58203125, 159.169921875, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.1
93
0
93
0
[ 7.998046875, 172.96875, 148.095703125, 57.12890625, -14.677734375, 1.1551154851913452 ]
[ 9.228515625, 179.560546875, 157.763671875, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.133333
94
0
94
0
[ 7.55859375, 170.947265625, 146.513671875, 57.3046875, -14.501953125, 1.1551154851913452 ]
[ 8.96484375, 177.978515625, 156.4453125, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.166667
95
0
95
0
[ 6.943359375, 168.486328125, 144.755859375, 57.744140625, -14.23828125, 1.4026402235031128 ]
[ 8.7890625, 176.396484375, 155.126953125, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.2
96
0
96
0
[ 6.6796875, 165.41015625, 142.822265625, 58.0078125, -13.447265625, 1.65016508102417 ]
[ 8.61328125, 174.7265625, 153.6328125, 58.095703125, -15.29296875, 0.7660167217254639 ]
3.233333
97
0
97
0
[ 6.416015625, 161.982421875, 140.80078125, 58.271484375, -12.568359375, 1.897689700126648 ]
[ 8.0859375, 172.880859375, 152.138671875, 58.095703125, -15.029296875, 0.835654616355896 ]
3.266667
98
0
98
0
[ 6.240234375, 158.466796875, 138.779296875, 58.359375, -11.953125, 2.3927392959594727 ]
[ 7.3828125, 170.595703125, 150.46875, 58.095703125, -14.501953125, 0.835654616355896 ]
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": "so101",
    "total_episodes": 50,
    "total_frames": 19795,
    "total_tasks": 1,
    "total_videos": 100,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:50"
    },
    "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": [
                6
            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.images.top": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
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            "info": {
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                "video.width": 640,
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                "video.pix_fmt": "yuv420p",
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                "video.channels": 3,
                "has_audio": false
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        },
        "observation.images.side": {
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            "shape": [
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                640,
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            "names": [
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                "width",
                "channels"
            ],
            "info": {
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                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
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                "video.channels": 3,
                "has_audio": false
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        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
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            "names": null
        },
        "frame_index": {
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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": {
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            "names": null
        }
    }
}

Citation

BibTeX:

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License:
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
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