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vladfatu
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gemma_rover_wipe_solar_2

Tasks:
Robotics
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1K - 10K
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LeRobot
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observation.state
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float32
0
20
frame_index
int64
0
599
episode_index
int64
0
9
index
int64
0
6k
task_index
int64
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "lekiwi_client",
    "total_episodes": 10,
    "total_frames": 6000,
    "total_tasks": 1,
    "total_videos": 20,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:10"
    },
    "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": [
                9
            ],
            "names": [
                "arm_shoulder_pan.pos",
                "arm_shoulder_lift.pos",
                "arm_elbow_flex.pos",
                "arm_wrist_flex.pos",
                "arm_wrist_roll.pos",
                "arm_gripper.pos",
                "x.vel",
                "y.vel",
                "theta.vel"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                9
            ],
            "names": [
                "arm_shoulder_pan.pos",
                "arm_shoulder_lift.pos",
                "arm_elbow_flex.pos",
                "arm_wrist_flex.pos",
                "arm_wrist_roll.pos",
                "arm_gripper.pos",
                "x.vel",
                "y.vel",
                "theta.vel"
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "observation.images.wrist": {
            "dtype": "video",
            "shape": [
                640,
                480,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 640,
                "video.width": 480,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "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
        }
    }
}

Citation

BibTeX:

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License:
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Size of the auto-converted Parquet files:
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Number of rows:
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