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kwangchaeko
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eval_act_koch_test_2_060000

Tasks:
Robotics
Modalities:
Tabular
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Size:
1K - 10K
Tags:
LeRobot
tutorial
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action
sequence
observation.state
sequence
timestamp
float32
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36.7
frame_index
int64
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1.1k
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int64
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2
index
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3.27k
task_index
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0
[ -0.7095586061477661, 134.45330810546875, 134.89193725585938, 40.375160217285156 ]
[ -0.703125, 133.41796875, 135.3515625, 40.60546875 ]
3
90
0
90
0
[ -0.7048279047012329, 134.45159912109375, 134.90049743652344, 40.324462890625 ]
[ -0.703125, 133.41796875, 135.3515625, 40.60546875 ]
3.033333
91
0
91
0
[ -0.7078553438186646, 134.46807861328125, 134.85781860351562, 40.36644744873047 ]
[ -0.703125, 133.41796875, 135.3515625, 40.517578125 ]
3.066667
92
0
92
0
[ -0.7079603672027588, 134.4610137939453, 134.90728759765625, 40.327938079833984 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.1
93
0
93
0
[ -0.7003675699234009, 134.47702026367188, 134.8827667236328, 40.31379318237305 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.133333
94
0
94
0
[ -0.6986253261566162, 134.46975708007812, 134.99159240722656, 40.26390838623047 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.166667
95
0
95
0
[ -0.6897164583206177, 134.4722442626953, 134.93060302734375, 40.266944885253906 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.2
96
0
96
0
[ -0.686543345451355, 134.48526000976562, 135.00729370117188, 40.215824127197266 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.233333
97
0
97
0
[ -0.6851181983947754, 134.489013671875, 135.01889038085938, 40.223609924316406 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
3.266667
98
0
98
0
[ -0.6860463619232178, 134.5015106201172, 134.98883056640625, 40.220401763916016 ]
[ -0.703125, 133.41796875, 135.3515625, 40.4296875 ]
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": "koch",
    "total_episodes": 3,
    "total_frames": 3266,
    "total_tasks": 1,
    "total_videos": 3,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:3"
    },
    "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": [
                4
            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
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            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex"
            ]
        },
        "observation.images.laptop": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
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        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
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                1
            ],
            "names": null
        },
        "episode_index": {
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            ],
            "names": null
        },
        "index": {
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        },
        "task_index": {
            "dtype": "int64",
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            "names": null
        }
    }
}

Citation

BibTeX:

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Downloads last month
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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:
3,266