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Datasets:
Chibaa
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rollout_0730_20260730_134300

Tasks:
Robotics
Modalities:
Tabular
Time-series
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Formats:
parquet
Size:
< 1K
Tags:
LeRobot
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pandas
Polars
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action
list
observation.state
list
timestamp
float32
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2.23
frame_index
int64
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67
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int64
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index
int64
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0
57
0
[ 1.3448476791381836, -99.36412811279297, 66.38452911376953, -6.06406307220459, 88.90055084228516, 36.90983581542969 ]
[ 1.274725317955017, -100.57142639160156, 72.48351287841797, -13.89011001586914, 90.06593322753906, 36.85272216796875 ]
1.933333
58
0
58
0
[ 1.2988624572753906, -99.67483520507812, 62.95953369140625, 3.608407497406006, 89.34696197509766, 36.44261169433594 ]
[ 1.274725317955017, -100.04395294189453, 68.17582702636719, -6.241758346557617, 89.18681335449219, 36.85272216796875 ]
1.966667
59
0
59
0
[ 1.2601499557495117, -99.54834747314453, 58.9651985168457, 9.58035945892334, 88.27373504638672, 36.415889739990234 ]
[ 1.274725317955017, -100.04395294189453, 64.74725341796875, 3.5164835453033447, 89.18681335449219, 36.516475677490234 ]
2
60
0
60
0
[ 1.3131237030029297, -103.31098937988281, 62.52712631225586, 9.165360450744629, 90.21465301513672, 37.21329879760742 ]
[ 1.274725317955017, -100.04395294189453, 60.61538314819336, 9.318681716918945, 88.48351287841797, 36.516475677490234 ]
2.033333
61
0
61
0
[ 1.5814838409423828, -99.91985321044922, 58.565162658691406, 18.028778076171875, 95.27613067626953, 36.96046829223633 ]
[ 1.274725317955017, -103.20879364013672, 62.46154022216797, 9.318681716918945, 89.71428680419922, 37.054473876953125 ]
2.066667
62
0
62
0
[ 0.9024133682250977, -101.25082397460938, 62.96063232421875, 13.58484935760498, 98.30567932128906, 36.28781509399414 ]
[ 1.274725317955017, -100.74725341796875, 60.263736724853516, 17.934066772460938, 94.989013671875, 37.12172317504883 ]
2.1
63
0
63
0
[ 1.0580778121948242, -100.52125549316406, 58.89338302612305, 17.638290405273438, 98.85215759277344, 36.47764205932617 ]
[ 1.186813235282898, -101.18681335449219, 62.901100158691406, 14.329669952392578, 97.97801971435547, 36.38197708129883 ]
2.133333
64
0
64
0
[ 1.1463322639465332, -101.99018096923828, 59.13273239135742, 16.045886993408203, 100.47709655761719, 37.291534423828125 ]
[ 1.186813235282898, -101.0988998413086, 60.61538314819336, 17.494504928588867, 98.4175796508789, 36.38197708129883 ]
2.166667
65
0
65
0
[ 1.220517635345459, -100.53524017333984, 59.70423889160156, 17.388246536254883, 99.5621337890625, 36.54082489013672 ]
[ 1.186813235282898, -101.71428680419922, 60.61538314819336, 16.879121780395508, 100.0879135131836, 37.12172317504883 ]
2.2
66
0
66
0
[ 1.4338788986206055, -101.60318756103516, 57.29853057861328, 20.666400909423828, 98.13682556152344, 37.21737289428711 ]
[ 1.186813235282898, -101.27472686767578, 60.61538314819336, 17.230770111083984, 99.73626708984375, 36.718223571777344 ]
2.233333
67
0
67
0

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "action": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.images.camera1": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "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
        }
    },
    "total_episodes": 1,
    "total_frames": 68,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "so_follower",
    "splits": {
        "train": "0:1"
    }
}

Citation

BibTeX:

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