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+ ---
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+ license: mit
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+ task_categories:
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+ - robotics
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+ tags:
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+ - LeRobot
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+ - robotwin
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+ - sim
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+ - franka
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+ configs:
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+ - config_name: default
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+ data_files: data/*/*.parquet
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+ ---
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+
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+ # stackblocks-stage3-v1 — RoboTwin stack-blocks-two task finetune data
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+
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+ Stage-3 of a 3-stage curriculum (DROID CoT pretrain → playground @grip conditioning →
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+ **task finetune**). 45 human-teleop episodes of the `stack_blocks_two` task (Franka,
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+ RoboTwin sim) — the source dataset of the T-series / EE-noCoT ablation campaigns.
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+ LeRobot **v2.1 video/h264**, schema-identical to `Numbnut/playground-stage2-v1` and
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+ `Numbnut/droid-keeps-v6`:
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+
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+ - `observation.images.ext` = bird_eye (**the `<loc>`/@grip grounding view**), 320×240
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+ - `observation.images.wrist` = right_camera
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+ - `observation.state` (8,) = joint qpos (7) + gripper open (1=open)
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+ - `action` (7,) = EE delta-euler + gripper (`compute_ee_delta_actions`)
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+ - task = the REAL per-episode instruction (goal-directed, e.g. "Relocate red block to
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+ the middle and place green block on it.")
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+
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+ Conversion specifics (see `droid_provenance.json`):
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+
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+ - **30→15fps stride 2** — tempo parity with stage-2. NOTE: the historical T-series/EE
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+ repos were native-rate; per-stored-frame deltas here are ~2× those — do not compare
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+ models trained here against the historical EE-noCoT/T-series numbers directly.
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+ - **Static-prefix trim 0.05 rad** (T-series-proven; mean ~14 frames): `trim` maps each
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+ episode's source-frame offset. Any future CoT span table must map
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+ `kf_lerobot = (kf_source - trim) // stride`, dropping kf inside the trimmed prefix.
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+ - **held_out = []**: stage-3 eval is closed-loop sim (`run_benchmark.py --episodes 50
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+ --seed-offset 100 --step-limit 800`), all 45 episodes train. Keep
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+ `cot_exclude_held_out=False` for this repo.
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+
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+ No CoT span table yet: the existing `annotation_v5.json` files in the source tree are
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+ an older API format (per-kf A only); v5-span regeneration (template annotator) is a
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+ pending, separately-reviewed step.
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+
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+ Built by `policy/pi05-pure/scripts/convert_franka50_to_lerobot.py` in the RoboTwin fork.