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  1. CITATION.md +25 -0
  2. DeskTaskTac/AprilTagPip/README.md +33 -0
  3. DeskTaskTac/AprilTagPip/data/episode_000000.parquet +3 -0
  4. DeskTaskTac/AprilTagPip/data/episode_000001.parquet +3 -0
  5. DeskTaskTac/AprilTagPip/data/episode_000002.parquet +3 -0
  6. DeskTaskTac/AprilTagPip/data/episode_000003.parquet +3 -0
  7. DeskTaskTac/AprilTagPip/meta/dataset_info.json +197 -0
  8. DeskTaskTac/AprilTagPip/meta/episode_records/episode_000000.json +22 -0
  9. DeskTaskTac/AprilTagPip/meta/episode_records/episode_000001.json +22 -0
  10. DeskTaskTac/AprilTagPip/meta/episode_records/episode_000002.json +22 -0
  11. DeskTaskTac/AprilTagPip/meta/episode_records/episode_000003.json +22 -0
  12. DeskTaskTac/AprilTagPip/meta/episodes.parquet +3 -0
  13. DeskTaskTac/AprilTagPip/meta/features.json +225 -0
  14. DeskTaskTac/AprilTagPip/meta/tasks.jsonl +3 -0
  15. DeskTaskTac/AprilTagPip/videos/video.top_view/episode_000000.mp4 +3 -0
  16. DeskTaskTac/AprilTagPip/videos/video.top_view/episode_000001.mp4 +3 -0
  17. DeskTaskTac/AprilTagPip/videos/video.top_view/episode_000002.mp4 +3 -0
  18. DeskTaskTac/AprilTagPip/videos/video.top_view/episode_000003.mp4 +3 -0
  19. DeskTaskTac/README.md +95 -0
  20. DeskTaskTac/RawHandPip/README.md +33 -0
  21. DeskTaskTac/RawHandPip/data/episode_000000.parquet +3 -0
  22. DeskTaskTac/RawHandPip/data/episode_000001.parquet +3 -0
  23. DeskTaskTac/RawHandPip/data/episode_000002.parquet +3 -0
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  31. DeskTaskTac/RawHandPip/meta/dataset_info.json +197 -0
  32. DeskTaskTac/RawHandPip/meta/episode_records/episode_000000.json +29 -0
  33. DeskTaskTac/RawHandPip/meta/episode_records/episode_000001.json +29 -0
  34. DeskTaskTac/RawHandPip/meta/episode_records/episode_000002.json +29 -0
  35. DeskTaskTac/RawHandPip/meta/episode_records/episode_000003.json +29 -0
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  40. DeskTaskTac/RawHandPip/meta/episode_records/episode_000008.json +29 -0
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  44. DeskTaskTac/RawHandPip/meta/tasks.jsonl +10 -0
  45. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000000.mp4 +3 -0
  46. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000001.mp4 +3 -0
  47. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000002.mp4 +3 -0
  48. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000003.mp4 +3 -0
  49. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000004.mp4 +3 -0
  50. DeskTaskTac/RawHandPip/videos/video.top_view/episode_000005.mp4 +3 -0
CITATION.md ADDED
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+ # Citation
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+
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+ If you use this sample package or the data it contains, please cite the TTP paper:
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+
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+ Chi Zhang, Penglin Cai, Ziheng Xi, Haoqi Yuan, Hao Luo, Wanpeng Zhang, Sipeng Zheng, Chaoyi Xu, and Zongqing Lu. Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation. 2026.
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+
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+ ```bibtex
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+ @misc{zhang2026ttp,
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+ title = {Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation},
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+ author = {Zhang, Chi and Cai, Penglin and Xi, Ziheng and Yuan, Haoqi and Luo, Hao and Zhang, Wanpeng and Zheng, Sipeng and Xu, Chaoyi and Lu, Zongqing},
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+ year = {2026},
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+ url = {https://beingbeyond.github.io/TTP/}
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+ }
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+ ```
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+
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+ To cite this sample package directly:
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+
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+ ```bibtex
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+ @misc{htac2026release_sample_interndesk,
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+ title = {H-Tac Release Sample InternDesk},
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+ author = {{H-Tac Dataset Authors}},
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+ year = {2026},
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+ note = {Sample release package for Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation}
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+ }
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+ ```
DeskTaskTac/AprilTagPip/README.md ADDED
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+ # AprilTagPip Sample
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+
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+ This directory is a complete-episode sample of the DeskTaskTac AprilTag-assisted pipeline.
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+
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+ AprilTag episodes use scene AprilTags and hand reference structures to recover bimanual poses, together with tactile and MoCap glove information. This subset uses the same per-frame schema as `../RawHandPip`; see `../README.md` for the DeskTaskTac field dictionary.
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+
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+ ## Summary
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+
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+ | item | value |
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+ | --- | ---: |
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+ | episodes | 4 |
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+ | frames | 11,104 |
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+ | task entries | 3 |
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+ | top-view videos | 4 |
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+
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+ Episode indices and video paths are local to this subset and align with the files under `data/` and `videos/video.top_view/`.
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+
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+ ## Layout
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+
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+ - `data/episode_*.parquet`: frame-level episode data.
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+ - `videos/video.top_view/episode_*.mp4`: top-view MP4 videos.
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+ - `meta/features.json`: 38-field DeskTaskTac per-frame schema.
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+ - `meta/dataset_info.json`: dataset-level metadata, modality mapping, and coordinate systems.
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+ - `meta/episodes.parquet`: episode-level metadata for the AprilTag pipeline.
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+ - `meta/tasks.jsonl`: task id to task-name mapping.
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+ - `meta/episode_records/*.json`: per-episode metadata records.
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+
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+ ## Loading Notes
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+
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+ - Resolve paths in `video.top_view` relative to this directory.
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+ - Treat `state.eef_*` and `state.left_eef_*` as right/left hand wrist or anchor poses in the first-person OpenCV camera frame.
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+ - `timestamp` is episode-relative seconds; `timestamp_ms` preserves the captured millisecond timeline.
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+ - `manus_frame_index` may contain source MoCap/Manus frame indices in this subset.
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+ {
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+ "dataset_name": "AprilTagPip",
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+ "dataset_type": "lerobot_episode_dataset",
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+ "codebase_version": "h_tac_desktask_tac_v1",
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+ "fps": 30.0,
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+ "total_episodes": 4,
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+ "total_frames": 11104,
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+ "total_tasks": 3,
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+ "video_features": [
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+ "video.top_view"
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+ ],
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+ "paths": {
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+ "data": "data/episode_*.parquet",
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+ "episodes": "meta/episodes.parquet",
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+ "tasks": "meta/tasks.jsonl",
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+ "features": "meta/features.json",
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+ "videos": "videos/video.top_view/episode_*.mp4"
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+ },
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+ "modalities": {
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+ "language.instruction": {
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+ "source_column": "task_index",
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+ "start": 0,
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+ "end": 0,
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+ "lookup_path": "meta/tasks.jsonl"
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+ "end": 3,
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+ "coordinate_frame": "first_person_camera_opencv"
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+ "source_column": "state.eef_rotation",
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+ "rotation_type": "axis_angle"
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+ "state.left_eef_position": {
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+ "source_column": "state.left_eef_position",
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+ "source_column": "state.right_beta",
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+ "state.left_beta": {
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+ "source_column": "state.left_beta",
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+ "end": 10
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+ },
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+ "state.right_theta": {
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+ "source_column": "state.right_theta",
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+ "start": 0,
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+ },
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+ "state.left_theta": {
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+ "source_column": "state.left_theta",
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+ "start": 0,
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+ },
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+ "state.first_person_camera_position_world": {
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+ "source_column": "state.first_person_camera_position_world",
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+ "start": 0,
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+ "end": 3,
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+ "coordinate_frame": "world_scene"
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+ },
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+ "state.first_person_camera_rotation_world": {
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+ "source_column": "state.first_person_camera_rotation_world",
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+ "start": 0,
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+ "end": 3,
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+ "rotation_type": "axis_angle"
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+ },
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+ "tactile.right_tactile": {
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+ "source_column": "tactile.right_tacglove",
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+ "end": 137
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+ "absolute": false,
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+ "coordinate_frame": "first_person_camera_opencv"
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+ },
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+ "action.eef_rotation": {
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+ "source_column": "action.eef_rotation",
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+ "rotation_type": "axis_angle"
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+ "action.left_eef_position": {
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+ "source_column": "action.left_eef_position",
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+ "coordinate_frame": "first_person_camera_opencv",
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+ "rotation_type": "axis_angle"
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+ },
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+ "action.dexhand_position": {
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+ "source_column": "action.dexhand_position",
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+ "start": 0,
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+ "end": 6
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+ },
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+ "action.left_dexhand_position": {
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+ "source_column": "action.left_dexhand_position",
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+ "end": 6
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+ "source_column": "action.right_beta",
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+ "action.left_beta": {
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+ "source_column": "action.left_beta",
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+ "end": 10
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+ },
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+ "action.right_theta": {
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+ "source_column": "action.right_theta",
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+ "action.left_theta": {
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+ "source_column": "action.left_theta",
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+ "start": 0,
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+ "end": 45
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+ }
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+ },
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+ "coordinate_systems": {
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+ "first_person_camera_opencv": {
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+ "definition": "Current-frame egocentric camera coordinates following OpenCV convention.",
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+ "axes": {
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+ "x": "image_right",
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+ "y": "image_down",
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+ "z": "camera_forward"
183
+ }
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+ },
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+ "world_scene": {
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+ "definition": "Scene-board world frame anchored to the reference scene AprilTag.",
187
+ "axes": "Inherited from the reconstructed world transform chain."
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+ }
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+ },
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+ "fusion": {
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+ "camera_serials": "all",
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+ "fixed_world_camera_serials": "camera_1,camera_2",
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+ "timeline_camera_serial": "camera_0",
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+ "hand_pose_frame": "first_person_camera_opencv",
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+ "first_person_camera_pose_frame": "world_scene"
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+ }
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+ }
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1
+ # DeskTaskTac Sample
2
+
3
+ `DeskTaskTac` contains two complete-episode desk-task samples:
4
+
5
+ | subset | episodes | frames | videos | notes |
6
+ | --- | ---: | ---: | ---: | --- |
7
+ | `RawHandPip` | 10 | 10,974 | 10 | raw-hand desk-task episodes |
8
+ | `AprilTagPip` | 4 | 11,104 | 4 | AprilTag-assisted desk-task episodes |
9
+
10
+ Both subsets follow the release layout described in the top-level README and include top-view MP4 videos. Episode ids, task ids, parquet paths, and video paths are local to this release package.
11
+
12
+ ## Schema Consistency
13
+
14
+ `RawHandPip` and `AprilTagPip` share the same 38-column per-frame schema. Common frame fields are documented in the top-level `README.md`. This file lists DeskTaskTac-specific fields and metadata.
15
+
16
+ The two DeskTaskTac subsets differ in collection/reconstruction pipeline and episode-level metadata:
17
+
18
+ - `RawHandPip`: raw-hand desk-task episodes. The raw-hand pipeline recovers hand state from image keypoint detection and multi-view triangulation, with tactile glove readings.
19
+ - `AprilTagPip`: AprilTag-assisted desk-task episodes. The AprilTag pipeline uses scene AprilTags and hand reference structures to recover bimanual poses, with tactile and MoCap glove information.
20
+
21
+ ## Loading Notes
22
+
23
+ - `RawHandPip` and `AprilTagPip` share one per-frame schema.
24
+ - Read `meta/features.json` before selecting parquet columns.
25
+ - `meta/episodes.parquet` contains subset-specific auxiliary columns.
26
+ - `state.eef_*` is the hand wrist/anchor pose in `first_person_camera_opencv`.
27
+ - Resolve `video.top_view` relative to the subset root.
28
+ - `timestamp` is episode-relative seconds; `timestamp_ms` preserves the captured millisecond timeline.
29
+
30
+ ## DeskTaskTac-Specific Per-Frame Fields
31
+
32
+ DeskTaskTac adds dexhand and TacGlove tactile fields on top of the common schema.
33
+
34
+ | field | dtype / shape | meaning |
35
+ | --- | --- | --- |
36
+ | `state.dexhand_position` | `float32[6]` | Right-side dexhand/hand-position state vector. |
37
+ | `state.left_dexhand_position` | `float32[6]` | Left-side dexhand/hand-position state vector. |
38
+ | `action.dexhand_position` | `float32[6]` | Right-side dexhand/hand-position action vector. |
39
+ | `action.left_dexhand_position` | `float32[6]` | Left-side dexhand/hand-position action vector. |
40
+ | `tactile.right_tacglove` | `float32[137]` | Right-hand TacGlove tactile vector. |
41
+ | `tactile.left_tacglove` | `float32[137]` | Left-hand TacGlove tactile vector. |
42
+ | `tactile_pred.right_tacglove` | `float32[137]` | Right-hand predicted or processed TacGlove tactile vector. |
43
+ | `tactile_pred.left_tacglove` | `float32[137]` | Left-hand predicted or processed TacGlove tactile vector. |
44
+
45
+ ## Pose And Timing Notes
46
+
47
+ - `state.eef_position` and `state.eef_rotation` are right-hand wrist/anchor pose fields in `first_person_camera_opencv`, not robot EEF fields.
48
+ - `state.left_eef_position` and `state.left_eef_rotation` are the left-hand equivalents.
49
+ - `action.eef_*` and `action.left_eef_*` are declared with `absolute=false`; treat them as action targets or deltas according to the original conversion policy.
50
+ - `timestamp` is episode-relative seconds on the captured first-person video timeline.
51
+ - `timestamp_ms` preserves the captured millisecond timeline timestamp. It is not simply `frame_index * 1000 / 30`.
52
+ - `video.top_view_frame_index` matches `frame_index` in this sample.
53
+ - `manus_frame_index` is meaningful when a Manus/MoCap source was available. In RawHand episodes it is commonly `-1`; in AprilTag episodes it may contain source frame indices.
54
+
55
+ ## Tactile Representation
56
+
57
+ DeskTaskTac tactile fields are 137-D TacGlove vectors for the right and left hands. The paired `tactile_pred.*` fields keep the same shape and represent predicted or processed tactile values for the corresponding hand.
58
+
59
+ DeskTaskTac combines first-person camera timeline alignment, wrist pose, MANO `theta`/`beta`, tactile glove signals, top-view video, and task labels.
60
+
61
+ ## Episode Metadata
62
+
63
+ The per-frame parquet schema is the same for `RawHandPip` and `AprilTagPip`, but `meta/episodes.parquet` is not identical between the two subsets.
64
+
65
+ Common DeskTaskTac episode-level fields include:
66
+
67
+ | field | meaning |
68
+ | --- | --- |
69
+ | `episode_index` | Episode id within the release subset. |
70
+ | `session_name`, `session_dir` | Release-local episode/session identifiers. |
71
+ | `length` | Number of frames in the episode. |
72
+ | `task_index`, `task` | Task id and task name. |
73
+ | `fps` | Nominal frame rate, `30.0`. |
74
+ | `camera_serials` | Camera selection string used by the subset metadata. |
75
+ | `multiview_min_hand_tags` | Minimum required hand tags/views in the source pipeline. |
76
+ | `rts_smooth_wrist_pose` | Whether wrist pose smoothing was enabled. |
77
+ | `first_person_camera_serial` | First-person camera id, usually `camera_0`. |
78
+ | `video.top_view` | Relative top-view video path. |
79
+ | `parquet_path` | Relative path to the episode parquet file. |
80
+ | `mano_device` | Device used for MANO processing, such as `cpu`. |
81
+ | `duration_seconds` | Episode duration in seconds. |
82
+ | `timeline_mode`, `timeline_camera_serial` | Timeline alignment mode and reference camera. |
83
+ | `pad_frozen_data`, `manus_frozen_left`, `manus_frozen_right` | Flags for padded or frozen source data. |
84
+
85
+ `RawHandPip` also includes extra raw-hand processing fields such as `pipeline_mode`, `hand_2d_backend`, `interpolation_space`, and `trusted_3d_*`. `AprilTagPip` has a smaller episode-level metadata table.
86
+
87
+ ## Task Names
88
+
89
+ `meta/tasks.jsonl` maps `task_index` to desk-task names. Examples include `assemble_lego`, `operate_desk_lamp`, `fold_paper`, `work_with_cylinder`, `operate_calculator`, and `play_tangram`.
90
+
91
+ ## Release Files
92
+
93
+ Each subset contains the standard release layout: `data/`, `meta/`, `meta/episode_records/`, and `videos/video.top_view/`.
94
+
95
+ Subset counts are summarized above and in the top-level `README.md`. Field definitions shared by both subsets are listed in `SCHEMA.md`.
DeskTaskTac/RawHandPip/README.md ADDED
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1
+ # RawHandPip Sample
2
+
3
+ This directory is a complete-episode sample of the DeskTaskTac RawHand pipeline.
4
+
5
+ RawHand episodes use image-based hand keypoint detection and multi-view triangulation to recover hand state, together with tactile glove readings. This subset uses the same per-frame schema as `../AprilTagPip`; see `../README.md` for the DeskTaskTac field dictionary.
6
+
7
+ ## Summary
8
+
9
+ | item | value |
10
+ | --- | ---: |
11
+ | episodes | 10 |
12
+ | frames | 10,974 |
13
+ | task entries | 10 |
14
+ | top-view videos | 10 |
15
+
16
+ Episode indices and video paths are local to this subset and align with the files under `data/` and `videos/video.top_view/`.
17
+
18
+ ## Layout
19
+
20
+ - `data/episode_*.parquet`: frame-level episode data.
21
+ - `videos/video.top_view/episode_*.mp4`: top-view MP4 videos.
22
+ - `meta/features.json`: 38-field DeskTaskTac per-frame schema.
23
+ - `meta/dataset_info.json`: dataset-level metadata, modality mapping, and coordinate systems.
24
+ - `meta/episodes.parquet`: episode-level metadata. RawHand includes additional raw-hand processing fields.
25
+ - `meta/tasks.jsonl`: task id to task-name mapping.
26
+ - `meta/episode_records/*.json`: per-episode metadata records.
27
+
28
+ ## Loading Notes
29
+
30
+ - Resolve paths in `video.top_view` relative to this directory.
31
+ - Treat `state.eef_*` and `state.left_eef_*` as right/left hand wrist or anchor poses in the first-person OpenCV camera frame.
32
+ - `timestamp` is episode-relative seconds; `timestamp_ms` preserves the captured millisecond timeline.
33
+ - `manus_frame_index` is commonly `-1` in RawHand episodes because this pipeline does not rely on a Manus/MoCap source in the same way as AprilTag episodes.
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+ "dataset_name": "RawHandPip",
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+ "dataset_type": "lerobot_episode_dataset",
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+ "codebase_version": "h_tac_desktask_tac_v1",
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+ "fps": 30.0,
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+ "total_episodes": 10,
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+ "total_tasks": 10,
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+ "paths": {
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+ "data": "data/episode_*.parquet",
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+ "episodes": "meta/episodes.parquet",
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+ "tasks": "meta/tasks.jsonl",
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+ "features": "meta/features.json",
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+ "videos": "videos/video.top_view/episode_*.mp4"
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+ },
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+ "modalities": {
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