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Datasets:
zijian2022
/
eval_insert2_1

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
tutorial
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Dask
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1
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action
sequence
observation.state
sequence
timestamp
float32
0
19.6
frame_index
int64
0
588
episode_index
int64
0
4
index
int64
0
2.9k
task_index
int64
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2.1
63
0
63
0
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2.133333
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0
64
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2.166667
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0
65
0
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2.2
66
0
66
0
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2.233333
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0
67
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2.266667
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68
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2.3
69
0
69
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2.333333
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0
70
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2.366667
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2.4
72
0
72
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2.433333
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0
73
0
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2.466667
74
0
74
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[ -18.544921875, 149.4140625, 146.337890625, 8.7890625, -0.615234375, 56.10810470581055 ]
2.5
75
0
75
0
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2.533333
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0
76
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2.566667
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2.6
78
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2.633333
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2.666667
80
0
80
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2.7
81
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2.733333
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2.766667
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2.8
84
0
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2.833333
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2.866667
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2.9
87
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2.933333
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2.966667
89
0
89
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3
90
0
90
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3.033333
91
0
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3.066667
92
0
92
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3.1
93
0
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3.133333
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0
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3.166667
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0
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3.2
96
0
96
0
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3.233333
97
0
97
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3.266667
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0
98
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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": 2899,
    "total_tasks": 1,
    "total_videos": 10,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:5"
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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": {
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                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.state": {
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            "shape": [
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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.laptop": {
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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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    }
}

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:
2,899