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Add artifact card

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+ ---
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+ pretty_name: ctr-sortblocks-100ep-sequential
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+ tags:
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+ - lerobot
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+ - robotics
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+ - simulation
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+ language:
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+ - en
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+ ---
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+ # ctr-sortblocks-100ep-sequential
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+
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+ 100 native RoboTwin **Blocks Ranking RGB-CTR** expert episodes in LeRobot v3 format.
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+ This is synthetic expert data, not a learned-policy benchmark.
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+
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+ ## Task
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+
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+ The left arm places red then yellow; the right arm places blue then green.
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+ Initial red/blue and yellow/green poses are mirrored across the arm bisector.
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+ Final world-x order is red, yellow, blue, green. Group centers are 0.52 m apart.
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+ Every physics step checks a conservative minimum 0.10 m cross-arm/actor clearance.
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+ The lowest recorded clearance in this dataset is 0.185744 m.
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+
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+ ## Sampling
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+
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+ Episodes 0–49: physical left arm first. Episodes 50–99: physical right arm first. The delayed arm starts exactly when the first arm finishes.
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+
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+ All four companion datasets use the same 100 accepted initial scenes and frozen
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+ per-scene joint/gripper controls. Timing changes do not change trajectory speed.
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+ Mixed reuses the selected source episodes; it introduces no new simulation scenes.
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+ Source scene IDs, control hashes and exact offsets are in meta/retime_manifest.json.
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+
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+ ## Contents
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+
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+ - Episodes: 100; training rows: 91191; FPS: 25; physics: 250 Hz.
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+ - Robot: Aloha AgileX; observation.state: 14 measured joint/gripper values.
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+ - action: 14 commanded joint/gripper targets at the next recorded observation.
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+ - Images:top, left_wrist and right_wrist, 320×240 RGB H.264 video.
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+ - Wrist preset: centered_fovy90, including calibrated optical-axis mounts.
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+ - Fixed wider head intrinsics: fx=fy=260 px, cx=160, cy=120.
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+ - Last observations are verification/next-target material, not extra action rows.
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+
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+ ## IdleMask
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+
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+ This non-CTR dataset has no IdleMask columns. Training with this dataset does not enable IdleMask.
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+
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+ ## Statistics and provenance
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+
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+ Numeric publication statistics use all valid published numeric rows, with exact
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+ global linear quantiles computed after promotion to float64. This includes state,
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+ action, timestamps and timing metadata. Image quantiles are omitted; native
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+ LeRobot sampled image mean/std estimates are retained.
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+ There is no episode-quantile averaging, padding, or mask-based exclusion.
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+ Training-specific delta/action-window normalization is a separate transform.
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+
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+ meta/source_programs contains the frozen controls and initial scenes.
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+ .ctr-revision.json identifies the generated scene/control manifest; the immutable
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+ Hugging Face commit is recorded in the external publication receipt.
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+ SHA256SUMS pins the uploaded files. All episodes passed task success, camera,
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+ control-integrity and timing checks before publication.