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Datasets:
ykorkmaz
/
play_single_robot_19

Tasks:
Robotics
Modalities:
Tabular
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parquet
Size:
1K - 10K
Tags:
LeRobot
tutorial
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pandas
Polars
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observation.state
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float32
0
297
frame_index
int64
0
8.92k
episode_index
int64
0
0
index
int64
0
8.92k
task_index
int64
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1.6
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1.7
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1.866667
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1.9
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1.933333
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2
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2.1
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2.133333
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2.2
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2.233333
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2.3
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2.333333
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2.366667
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2.4
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2.6
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2.7
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2.8
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2.9
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3
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3.033333
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91
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[ -0.0020981156267225742, 1.8778133392333984, 0.9206912517547607, 0.967994213104248, 0.03032730519771576, -0.01926451548933983, 0.03409843146800995 ]
[ -0.002479590941220522, 1.877431869506836, 0.9210727214813232, 0.9691386222839355, 0.030708782374858856, -0.020027466118335724, 0.030338995158672333 ]
3.066667
92
0
92
0
[ -0.0020981156267225742, 1.8778133392333984, 0.919928252696991, 0.9683756828308105, 0.030708782374858856, -0.01926451548933983, 0.03559715300798416 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9210727214813232, 0.968757152557373, 0.03032730519771576, -0.020027466118335724, 0.032271645963191986 ]
3.1
93
0
93
0
[ -0.0020981156267225742, 1.8778133392333984, 0.917639434337616, 0.968757152557373, 0.031090257689356804, -0.01926451548933983, 0.03697904571890831 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9206912517547607, 0.968757152557373, 0.03032730519771576, -0.020027466118335724, 0.033887192606925964 ]
3.133333
94
0
94
0
[ -0.002479590941220522, 1.8778133392333984, 0.9149690866470337, 0.9691386222839355, 0.03299763426184654, -0.01888304017484188, 0.038120612502098083 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9206912517547607, 0.968757152557373, 0.02994582988321781, -0.020027466118335724, 0.03536922484636307 ]
3.166667
95
0
95
0
[ -0.002479590941220522, 1.8778133392333984, 0.9115357995033264, 0.9691386222839355, 0.034142062067985535, -0.01926451548933983, 0.03913533687591553 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9187838435173035, 0.968757152557373, 0.03032730519771576, -0.020027466118335724, 0.036771152168512344 ]
3.2
96
0
96
0
[ -0.002479590941220522, 1.8778133392333984, 0.9088655114173889, 0.9691386222839355, 0.034142062067985535, -0.01888304017484188, 0.03993643820285797 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9157320261001587, 0.9691386222839355, 0.03032730519771576, -0.020027466118335724, 0.037976138293743134 ]
3.233333
97
0
97
0
[ -0.002479590941220522, 1.8778133392333984, 0.9069581031799316, 0.9683756828308105, 0.03376058489084244, -0.01888304017484188, 0.040393732488155365 ]
[ -0.002479590941220522, 1.877431869506836, 0.9126802682876587, 0.9691386222839355, 0.030708782374858856, -0.020027466118335724, 0.03901088982820511 ]
3.266667
98
0
98
0
[ -0.0020981156267225742, 1.8778133392333984, 0.9050507545471191, 0.9683756828308105, 0.03337911143898964, -0.018120087683200836, 0.03996981680393219 ]
[ -0.002479590941220522, 1.8778133392333984, 0.9092469811439514, 0.968757152557373, 0.030708782374858856, -0.020027466118335724, 0.039778612554073334 ]
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",
    "trossen_subversion": "v1.0",
    "robot_type": "trossen_ai_stationary",
    "total_episodes": 1,
    "total_frames": 8924,
    "total_tasks": 1,
    "total_videos": 3,
    "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": {
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            "dtype": "float32",
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            "names": [
                "right_joint_0",
                "right_joint_1",
                "right_joint_2",
                "right_joint_3",
                "right_joint_4",
                "right_joint_5",
                "right_joint_6"
            ]
        },
        "observation.state": {
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            "shape": [
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            "names": [
                "right_joint_0",
                "right_joint_1",
                "right_joint_2",
                "right_joint_3",
                "right_joint_4",
                "right_joint_5",
                "right_joint_6"
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        },
        "observation.images.cam_high": {
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        },
        "observation.images.cam_low": {
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                "video.pix_fmt": "yuv420p",
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        },
        "observation.images.cam_right_wrist": {
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            "names": [
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                "channels"
            ],
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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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        },
        "task_index": {
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            "names": null
        }
    }
}

Citation

BibTeX:

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