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Datasets:
gaozj
/
hongyan_lift_bottle_standard_4

Tasks:
Robotics
Modalities:
Image
Time-series
Video
Formats:
parquet
Size:
10K - 100K
Tags:
LeRobot
teleop
panda
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
 Community
1
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observation.images.image
imagewidth (px)
256
256
observation.images.wrist_image
imagewidth (px)
256
256
observation.state
list
action
list
timestamp
float32
0
30.7
frame_index
int64
0
307
episode_index
int64
0
99
index
int64
0
22.3k
task_index
int64
0
0
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3.9
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4.1
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4.2
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4.3
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4.4
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4.5
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4.6
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4.7
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4.8
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4.9
49
0
49
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5
50
0
50
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5.1
51
0
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5.2
52
0
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5.3
53
0
53
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5.4
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0
54
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5.5
55
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5.6
56
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56
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5.7
57
0
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5.8
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5.9
59
0
59
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6
60
0
60
0
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6.1
61
0
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0
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6.2
62
0
62
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6.3
63
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63
0
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6.4
64
0
64
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6.5
65
0
65
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6.6
66
0
66
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6.7
67
0
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6.8
68
0
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6.9
69
0
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7
70
0
70
0
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7.1
71
0
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0
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7.2
72
0
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0
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7.3
73
0
73
0
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7.4
74
0
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0
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7.5
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0
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0
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7.6
76
0
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0
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7.7
77
0
77
0
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7.8
78
0
78
0
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7.9
79
0
79
0
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8
80
0
80
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8.1
81
0
81
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8.2
82
0
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8.3
83
0
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0
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8.4
84
0
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0
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8.5
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0
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8.6
86
0
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8.7
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8.8
88
0
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8.9
89
0
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9
90
0
90
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9.1
91
0
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9.2
92
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9.3
93
0
93
0
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[ -0.0007410645484924316, -0.0008299946784973145, 0.000004976987838745117, -0.000013955348549643531, 0.000020641935407184064, 0.00003512703915475868, 1 ]
9.4
94
0
94
0
[ -0.5926139950752258, -0.15879100561141968, 0.31207799911499023, -0.30227378010749817, -3.1225669384002686, -0.0047154598869383335, 0.045375000685453415, -0.045375000685453415 ]
[ -0.0008359551429748535, -0.0009260028600692749, -0.0000029802322387695312, 0.000013955348549643531, -0.000020641935407184064, -0.00003512703915475868, 1 ]
9.5
95
0
95
0
[ -0.5934260487556458, -0.15967699885368347, 0.3120959997177124, -0.30229780077934265, -3.122528076171875, -0.004693197086453438, 0.045375000685453415, -0.045375000685453415 ]
[ -0.0008120536804199219, -0.0008859932422637939, 0.00001800060272216797, -0.000010621323781379033, 0.00003762504275073297, -0.000017543581634527072, 1 ]
9.6
96
0
96
0
[ -0.5942540168762207, -0.16061000525951385, 0.31208598613739014, -0.3023262619972229, -3.1225426197052, -0.004690644796937704, 0.045375000685453415, -0.045375000685453415 ]
[ -0.0008279681205749512, -0.0009330064058303833, -0.000010013580322265625, -0.0000033303811051155208, -0.00001694694219622761, -0.00001718874591460917, 1 ]
9.7
97
0
97
0
[ -0.5950689911842346, -0.1615070104598999, 0.3120940029621124, -0.3022959530353546, -3.122509002685547, -0.0046686334535479546, 0.045375000685453415, -0.045375000685453415 ]
[ -0.000814974308013916, -0.0008970052003860474, 0.000008016824722290039, -0.000010388237569713965, 0.00003756429941859096, 0.000017252979887416586, 1 ]
9.8
98
0
98
0
[ -0.5958980321884155, -0.16242599487304688, 0.31208598613739014, -0.3023521602153778, -3.1225228309631348, -0.004693319089710712, 0.045375000685453415, -0.045375000685453415 ]
[ -0.0008290410041809082, -0.0009189844131469727, -0.000008016824722290039, 0.000013721804862143472, -0.000020583564037224278, -0.00003488084257696755, 1 ]
9.9
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": "panda",
    "total_episodes": 100,
    "total_frames": 22278,
    "total_tasks": 1,
    "total_videos": 200,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 10,
    "splits": {
        "train": "0:100"
    },
    "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": {
        "observation.images.image": {
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            "names": [
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                "channel"
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        },
        "observation.images.wrist_image": {
            "dtype": "image",
            "shape": [
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                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        },
        "observation.images.image_video": {
            "dtype": "video",
            "shape": [
                256,
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            ],
            "info": {
                "video.height": 256,
                "video.width": 256,
                "video.codec": "av1",
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                "video.is_depth_map": false,
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        },
        "observation.images.wrist_image_video": {
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            ],
            "info": {
                "video.height": 256,
                "video.width": 256,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
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                "video.channels": 3,
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        "observation.state": {
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        "action": {
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        },
        "timestamp": {
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            "names": null
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        "frame_index": {
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            "names": null
        },
        "episode_index": {
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        "index": {
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        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            "names": null
        }
    }
}

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