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observation.state
list
action
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observation.tcp
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ref_dice
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ref_block
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

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        "observation.images.cam2": {
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            "names": [
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                "width",
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                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 1,
                "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": {},
                "is_depth_map": false
            }
        },
        "observation.images.gripper": {
            "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.fps": 1,
                "video.channels": 3,
                "has_audio": false,
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                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {},
                "is_depth_map": false
            }
        },
        "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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    },
    "total_episodes": 1,
    "total_frames": 27,
    "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": "fanuc_crx5ia",
    "splits": {
        "train": "0:1"
    }
}

Citation

BibTeX:

[More Information Needed]

Evaluation metrics

Metrics as defined in fanuc_control/inference/score.py (episode_metrics per episode, summarize for the run). Full record: logs/20260909_180147_metrics.json.

  • successes: 0 / 1 scored-and-surveyed episodes (Wilson 95%: 0.00 to 0.79); n scored = 1
  • stage_at_least (stages 0..6): [1, 1, 1, 0, 0, 0, 0]
  • failure classes: {'OTHER': 1} | details: {}
  • median t_reach - s, median t_grasp - s
ep outcome success steps d_min mm dice moved mm progress stage class detail t_grasp s
0 budget False 810 10.5 2.92 0.80 2 OTHER None -
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