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Datasets:
BasedLukas
/
so101_temp2

Tasks:
Robotics
Modalities:
Tabular
Time-series
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parquet
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< 1K
Tags:
LeRobot
so101
tutorial
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pandas
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action
sequence
observation.state
sequence
timestamp
float32
0
14.3
frame_index
int64
0
430
episode_index
int64
0
0
index
int64
0
430
task_index
int64
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0
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2.5
75
0
75
0
[ 11.865234375, 78.92578125, 96.943359375, 74.1796875, -95.625, 57.54237365722656 ]
[ 11.337890625, 79.453125, 98.173828125, 75.498046875, -95.2734375, 57.27084732055664 ]
2.533333
76
0
76
0
[ 11.865234375, 78.3984375, 96.767578125, 74.091796875, -95.625, 57.54237365722656 ]
[ 11.162109375, 79.1015625, 98.173828125, 74.970703125, -95.2734375, 57.27084732055664 ]
2.566667
77
0
77
0
[ 11.865234375, 78.046875, 96.767578125, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.162109375, 78.486328125, 98.173828125, 74.619140625, -95.361328125, 57.27084732055664 ]
2.6
78
0
78
0
[ 11.865234375, 77.87109375, 96.6796875, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.513671875, 77.87109375, 98.173828125, 74.267578125, -95.2734375, 57.27084732055664 ]
2.633333
79
0
79
0
[ 12.041015625, 77.783203125, 96.6796875, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.77734375, 77.51953125, 98.173828125, 74.1796875, -95.2734375, 57.27084732055664 ]
2.666667
80
0
80
0
[ 12.3046875, 77.783203125, 96.6796875, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.865234375, 77.51953125, 98.173828125, 74.1796875, -95.2734375, 57.27084732055664 ]
2.7
81
0
81
0
[ 12.65625, 77.783203125, 96.6796875, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.865234375, 77.431640625, 98.173828125, 74.1796875, -95.2734375, 57.27084732055664 ]
2.733333
82
0
82
0
[ 12.83203125, 77.6953125, 96.6796875, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.865234375, 77.431640625, 98.173828125, 74.1796875, -95.2734375, 57.27084732055664 ]
2.766667
83
0
83
0
[ 12.83203125, 77.6953125, 96.767578125, 74.00390625, -95.625, 57.54237365722656 ]
[ 11.953125, 77.431640625, 98.173828125, 74.1796875, -95.361328125, 57.27084732055664 ]
2.8
84
0
84
0
[ 12.919921875, 77.6953125, 96.767578125, 74.00390625, -95.625, 57.54237365722656 ]
[ 12.12890625, 77.431640625, 98.173828125, 74.1796875, -95.537109375, 57.27084732055664 ]
2.833333
85
0
85
0
[ 12.919921875, 77.6953125, 96.767578125, 74.091796875, -95.625, 57.54237365722656 ]
[ 12.568359375, 77.431640625, 98.173828125, 74.1796875, -95.185546875, 57.27084732055664 ]
2.866667
86
0
86
0
[ 12.919921875, 77.783203125, 96.767578125, 74.35546875, -95.625, 57.54237365722656 ]
[ 12.65625, 77.431640625, 98.173828125, 74.1796875, -95.2734375, 57.27084732055664 ]
2.9
87
0
87
0
[ 13.18359375, 78.046875, 96.6796875, 74.794921875, -95.625, 57.54237365722656 ]
[ 12.83203125, 77.431640625, 98.173828125, 74.1796875, -95.361328125, 57.27084732055664 ]
2.933333
88
0
88
0
[ 13.53515625, 78.3984375, 96.767578125, 74.970703125, -95.625, 57.54237365722656 ]
[ 12.919921875, 77.431640625, 98.173828125, 74.1796875, -95.361328125, 57.27084732055664 ]
2.966667
89
0
89
0
[ 13.798828125, 78.75, 97.294921875, 74.970703125, -95.625, 57.54237365722656 ]
[ 12.919921875, 77.431640625, 98.173828125, 74.443359375, -95.361328125, 57.27084732055664 ]
3
90
0
90
0
[ 13.88671875, 78.92578125, 97.3828125, 74.970703125, -95.625, 57.54237365722656 ]
[ 12.83203125, 77.431640625, 98.173828125, 74.619140625, -95.361328125, 57.27084732055664 ]
3.033333
91
0
91
0
[ 13.974609375, 78.92578125, 97.470703125, 75.05859375, -95.625, 57.54237365722656 ]
[ 13.095703125, 77.431640625, 98.173828125, 74.70703125, -95.537109375, 57.27084732055664 ]
3.066667
92
0
92
0
[ 14.0625, 79.013671875, 97.55859375, 75.05859375, -95.625, 57.54237365722656 ]
[ 13.271484375, 77.431640625, 98.173828125, 74.70703125, -95.625, 57.27084732055664 ]
3.1
93
0
93
0
[ 14.0625, 79.013671875, 97.646484375, 75.05859375, -95.625, 57.54237365722656 ]
[ 13.623046875, 77.431640625, 98.173828125, 74.70703125, -95.361328125, 57.27084732055664 ]
3.133333
94
0
94
0
[ 14.0625, 79.013671875, 97.646484375, 75.05859375, -95.361328125, 57.54237365722656 ]
[ 13.88671875, 77.431640625, 98.173828125, 74.8828125, -95.361328125, 57.27084732055664 ]
3.166667
95
0
95
0
[ 14.150390625, 79.1015625, 97.822265625, 75.146484375, -95.2734375, 57.54237365722656 ]
[ 13.974609375, 77.431640625, 98.173828125, 74.8828125, -95.361328125, 57.27084732055664 ]
3.2
96
0
96
0
[ 14.23828125, 79.541015625, 98.173828125, 75.146484375, -95.185546875, 57.54237365722656 ]
[ 14.0625, 77.431640625, 98.173828125, 74.8828125, -95.361328125, 57.27084732055664 ]
3.233333
97
0
97
0
[ 14.677734375, 80.15625, 98.701171875, 75.146484375, -95.2734375, 57.54237365722656 ]
[ 13.974609375, 77.431640625, 98.26171875, 74.8828125, -95.361328125, 57.27084732055664 ]
3.266667
98
0
98
0
[ 15.205078125, 81.03515625, 99.4921875, 75.146484375, -95.537109375, 57.54237365722656 ]
[ 13.88671875, 77.431640625, 98.4375, 74.8828125, -95.361328125, 57.27084732055664 ]
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": 1,
    "total_frames": 431,
    "total_tasks": 1,
    "total_videos": 0,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:1"
    },
    "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": [
                6
            ],
            "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"
            ]
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

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