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Upload ten accepted RevoTron MT multimodal reference episodes

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Shared native 60 Hz LeRobot v2.1 export: 10 episodes, 29,170 frames, 140 videos; official 0.3.3 reader, physical reports, padding and file hashes included.

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  1. README.md +89 -0
  2. data/chunk-000/episode_000000.parquet +3 -0
  3. data/chunk-000/episode_000001.parquet +3 -0
  4. data/chunk-000/episode_000002.parquet +3 -0
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  11. data/chunk-000/episode_000009.parquet +3 -0
  12. meta/acceptance/cup_hang/command_continuity.json +17 -0
  13. meta/acceptance/cup_hang/local_video_decode.json +76 -0
  14. meta/acceptance/cup_hang/physical_report.json +150 -0
  15. meta/acceptance/cup_hang/preview.jpg +3 -0
  16. meta/acceptance/cup_hang/recording_identity.json +277 -0
  17. meta/acceptance/cup_hang/validation_summary.json +62 -0
  18. meta/acceptance/cup_hang/visual_review.json +16 -0
  19. meta/acceptance/hammer/command_continuity.json +17 -0
  20. meta/acceptance/hammer/local_video_decode.json +76 -0
  21. meta/acceptance/hammer/physical_report.json +0 -0
  22. meta/acceptance/hammer/preview.jpg +3 -0
  23. meta/acceptance/hammer/recording_identity.json +253 -0
  24. meta/acceptance/hammer/validation_summary.json +62 -0
  25. meta/acceptance/hammer/visual_review.json +15 -0
  26. meta/acceptance/insert_peg/command_continuity.json +17 -0
  27. meta/acceptance/insert_peg/local_video_decode.json +76 -0
  28. meta/acceptance/insert_peg/physical_report.json +79 -0
  29. meta/acceptance/insert_peg/preview.jpg +3 -0
  30. meta/acceptance/insert_peg/recording_identity.json +233 -0
  31. meta/acceptance/insert_peg/validation_summary.json +62 -0
  32. meta/acceptance/insert_peg/visual_review.json +10 -0
  33. meta/acceptance/insert_pipette/command_continuity.json +23 -0
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  38. meta/acceptance/insert_pipette/validation_summary.json +62 -0
  39. meta/acceptance/insert_pipette/visual_review.json +11 -0
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  47. meta/acceptance/plug_charger/command_continuity.json +17 -0
  48. meta/acceptance/plug_charger/local_video_decode.json +76 -0
  49. meta/acceptance/plug_charger/physical_report.json +83 -0
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README.md ADDED
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+ ---
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+ pretty_name: RevoBench Refactor — Ten Accepted Multimodal Episodes
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+ language:
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+ - en
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+ tags:
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+ - robotics
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+ - lerobot
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+ - tactile
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+ - simulation
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+ ---
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+
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+ # RevoBench-Refactor: ten-task reference batch
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+
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+ This batch contains **10 accepted simulated demonstrations, 29,170 frames at 60 Hz, and 140 synchronized videos** (486.17 seconds of robot time). Each task contributes one complete episode. The robot is the new RevoTron with textured, calibrated Revo3 **MT** hands and the approved palm-facing **180° wrist fisheye** cameras. The previous fingertip optical calibration is retained.
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+
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+ The format is **LeRobot v2.1**, validated with **LeRobot 0.3.3 / PyAV**. These are selected scripted reference executions, not a statistically measured success rate or a large training benchmark. The only split is `train`.
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+
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+ ## Episodes
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+
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+ | Episode | Task | Frames | Seed | Randomized layout |
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+ |---:|---|---:|---:|:---:|
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+ | 0 | `hammer` | 1403 | 0 | no |
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+ | 1 | `plug_charger` | 2457 | 1 | yes |
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+ | 2 | `tray_carry` | 1676 | 1 | yes |
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+ | 3 | `pour_can` | 3720 | 1 | yes |
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+ | 4 | `cup_hang` | 3892 | 1 | yes |
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+ | 5 | `rotate_knob` | 2230 | 1 | yes |
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+ | 6 | `insert_pipette` | 2551 | 1 | yes |
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+ | 7 | `insert_peg` | 3033 | 1 | yes |
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+ | 8 | `kitchen` | 5424 | 1 | yes |
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+ | 9 | `power_drill` | 2784 | 4 | yes |
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+
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+ English task instructions are in `meta/tasks.jsonl`. `meta/batch_provenance.json` maps every episode to its original recording. Episode, global-frame, task and tactile-target indices were assigned by the shared exporter; the original per-task datasets remain preserved separately.
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+
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+ ## Recorded fields
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+
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+ Use `meta/info.json` for exact feature names, shapes and joint ordering.
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+
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+ | Fields | Shape per frame / interpretation |
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+ |---|---|
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+ | `observation.state`, `action` | `[56]`, measured joint positions and absolute joint commands in radians; observations precede the corresponding command |
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+ | `observation.images.head`, `.wrist_left`, `.wrist_right`, `.overview` | Four RGB videos; the two wrist cameras use 180° fisheye projection |
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+ | `observation.images.tactile_{side}_{finger}` | Ten optical tactile RGB videos, five per hand |
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+ | `observation.tactile_depth.{side}_{finger}` | `[1,240,320]` numeric float32 optical overlap depth in metres |
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+ | `observation.tactile_marker.{side}_{finger}` | `[100,3]` float32 marker displacement in DIP-local coordinates, metres |
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+ | `observation.tactile_marker_valid.{side}_{finger}` | `[100]` fixed boolean calibration validity mask |
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+ | `observation.tactile_pressure.{side}_{region}` | MT regional response vectors, **451 channels per hand** |
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+ | `observation.tactile_tip_wrench.{side}_fingers` | `[5,6]` normal plus friction forces and moments about the DIP origin, in DIP-local coordinates; N and N m |
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+ | `observation.tactile_target_id` | `[1]` dataset-wide target ID; resolve through `meta/tactile_targets.json` |
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+
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+ Sides are `left` and `right`; fingers are `thumb`, `index`, `middle`, `ring`, `pinky`. Pressure has thumb regions of 31+57 channels, four finger regions of 21+52 each, and 71 palm channels. It is a nonnegative response after column-normalized spatial diffusion, **not Pa or N**, and can exceed 1. Do not clip it to [0,1]. The tactile backend observes one explicitly identified target at a time, not all scene contacts. Per-episode `target_mapping.json` maps original raw target slots to dataset-wide IDs.
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+
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+ Gains are configuration, not action dimensions. Every task uses hand stiffness/damping 80/8, arm stiffness `[600,600,600,450,450,300,300]` and arm damping 30. Recording/control run at 60 Hz; physics runs at 480 Hz.
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+
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+ ## Reading the data
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+
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+ Authenticate with an account permitted to read this private dataset (`hf auth login`). Use the pinned LeRobot 0.3.3 reader environment documented in the [code repository](https://github.com/DavidLXu/RevoBench-Refactor/tree/c2646255984794f755e391c18e58c745c63e198e). The snippet downloads a fixed format tag, then loads local files:
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ from lerobot.datasets.lerobot_dataset import LeRobotDataset
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+
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+ repo_id = "DavidLXu/RevoBench-Refactor"
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+ root = snapshot_download(repo_id, repo_type="dataset", revision="v2.1")
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+ dataset = LeRobotDataset(
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+ repo_id,
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+ root=root,
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+ download_videos=False,
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+ video_backend="pyav",
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+ delta_timestamps={"action": [i / 60 for i in range(16)]},
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+ )
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+ sample = dataset[0]
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+ print(sample["observation.state"].shape) # torch.Size([56])
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+ print(sample["action"].shape) # torch.Size([16, 56])
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+ ```
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+
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+ For an immutable experiment, replace `v2.1` with this dataset's full Hub commit SHA. Preserve episode boundaries and use `action_is_pad` when training with action chunks. The official reader has been checked at the start, middle and end of all ten episodes, including repeated final-action padding.
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+
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+ ## Evidence and scope
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+
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+ `meta/validation_summary.json` contains combined-dataset numeric and official-reader validation. The exporter decoded every video to check all frame counts and timestamps. `meta/episodes/episode_XXXXXX/` preserves the original raw manifest, physical report, calibration hashes and target mapping. `meta/acceptance/` contains the selected task acceptance, randomized-layout evidence and individual physical, motion and visual reviews. `meta/file_manifest.json` records payload sizes and SHA-256 hashes, excluding itself.
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+
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+ These recordings share optical model `physical_geometry_optical_intervals_v1_candidate`. Numeric depth represents the connected target overlap along a calibrated ray at its gel-surface endpoint; it is not measured normal silicone indentation. The tray uses its closed authored source surface rather than the cooked PhysX SDF grid. Real-sensor fidelity has not been established. In the selected tray episode, thumb contact is on the shell outside the calibrated gel, so zero thumb optical response is valid.
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+
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+ `pour_can` uses the versioned granular surrogate `pour_can_opened_granular_v2_cavity_frame`; its containment predicate remains provisional and does not assert that every particle reaches the bowl. `insert_pipette` ends with the inserted tube still held. `power_drill` demonstrates pickup, non-contact board alignment and upright replacement/release; it does not simulate spindle rotation or drilling.
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+
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+ Code and reproduction: [RevoBench-Refactor at c264625](https://github.com/DavidLXu/RevoBench-Refactor/tree/c2646255984794f755e391c18e58c745c63e198e), [recording instructions](https://github.com/DavidLXu/RevoBench-Refactor/blob/c2646255984794f755e391c18e58c745c63e198e/docs/REPRODUCE.md), [sensor contract](https://github.com/DavidLXu/RevoBench-Refactor/blob/c2646255984794f755e391c18e58c745c63e198e/docs/SENSOR_MODEL.md), [physical criteria](https://github.com/DavidLXu/RevoBench-Refactor/blob/c2646255984794f755e391c18e58c745c63e198e/docs/VALIDATION.md).
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+
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+ Robot, task assets, textures and calibration retain their respective upstream provenance; no new blanket asset license is asserted here. See [third-party notices](https://github.com/DavidLXu/RevoBench-Refactor/blob/c2646255984794f755e391c18e58c745c63e198e/docs/THIRD_PARTY.md). This upload includes recorded data and evidence, not the full simulation asset bundle.
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+ {
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+ "Hammer held in right hand; nail visibly lower in final overview. Original saved physical validation separately confirms70mm travel and no hand-nail contact.",
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+ "Right thumb optical depth is zero; this is explicitly retained, not artificially populated. Active index/middle depths are nonzero; exact thumb contact geometry remains distinct from body-contact force."
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+ ],
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+ "method": "Decoded actual recorded images; browser UI playback not tested."
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  • Pointer size: 130 Bytes
  • Size of remote file: 37.6 kB
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  • Pointer size: 130 Bytes
  • Size of remote file: 38 kB
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