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  1. README.md +30 -0
  2. data/chunk-001/episode_001069.parquet +3 -0
  3. data/chunk-001/episode_001084.parquet +3 -0
  4. data/chunk-001/episode_001089.parquet +3 -0
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  44. layouts/inspect_report.json +78 -0
  45. layouts/meta.json +0 -0
  46. meta/episodes.jsonl +0 -0
  47. meta/episodes_stats.jsonl +0 -0
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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: mit
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+ tags:
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+ - robotics
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+ - libero
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+ - lerobot
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+ - depth
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+ - layout-conditioning
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+ # LIBERO Layout: GT and DA3
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+
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+ LIBERO spatial, object, goal and 10 suites: 1,695 successful replay episodes, 274,008 frames, 10 Hz. Derived from LIBERO demonstrations for layout-conditioned robot policy training.
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+
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+ ## Files
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+
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+ - `data/` and `meta/`: LeRobot v2.1 trajectory dataset. RGB main and wrist images are 256x256; state float32[8]; actions float32[7]. Tasks provide language instructions.
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+ - `layouts/`: episode-indexed arrays. For each of pre, post_raw, post_retreat: RGB uint8[E,256,256,3], GT depth float16[E,256,256] metres, DA3 depth float16[E,256,256] metres.
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+ - `layouts/retreat_success.npy`: choose post_retreat when true, otherwise post_raw.
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+ - `layouts/meta.json`: episode provenance and camera information.
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+ - `norm_stats/norm_stats.json`: openpi normalization statistics, action horizon 10.
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+
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+ GT and DA3 share the exact same trajectories. Select *_depth_gt.npy for simulator depth or *_depth_da3.npy for DA3METRIC-LARGE estimated metric depth (not aligned to GT). Layout row e matches trajectory episode_index e. Pre is the initial frame; post_raw is the state after the final action; post_retreat is captured after withdrawing the robot.
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+
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+ A training sample combines current main/wrist RGB, state, a 10-step action chunk, language and pre/post layout images. Depth arrays store raw metres; image encoding happens at training time. Per-frame auxiliary depth supervision is not included.
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+
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+ Source benchmark: https://github.com/Lifelong-Robot-Learning/LIBERO
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+ {"task_index": 1, "task": "pick up the black bowl next to the ramekin and place it on the plate"}
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+ {"task_index": 4, "task": "pick up the black bowl in the top drawer of the wooden cabinet and place it on the plate"}
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