Unify RoboTwin clean+aug keys, validity, schema-v3 norm_stats

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  1. README.md +97 -18
  2. aug/adjust_bottle-aloha-agilex_randomized_500-1000/data/chunk-000/file-000.parquet +2 -2
  3. aug/adjust_bottle-aloha-agilex_randomized_500-1000/meta/episodes/chunk-000/file-000.parquet +2 -2
  4. aug/adjust_bottle-aloha-agilex_randomized_500-1000/meta/info.json +176 -179
  5. aug/adjust_bottle-aloha-agilex_randomized_500-1000/meta/norm_stats.json +85 -105
  6. aug/adjust_bottle-aloha-agilex_randomized_500-1000/meta/stats.json +459 -459
  7. aug/adjust_bottle-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-000.mp4 +0 -0
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  10. aug/adjust_bottle-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-000.mp4 +0 -0
  11. aug/adjust_bottle-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-001.mp4 +0 -0
  12. aug/adjust_bottle-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-000.mp4 +0 -0
  13. aug/adjust_bottle-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-001.mp4 +0 -0
  14. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/data/chunk-000/file-000.parquet +2 -2
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  16. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/meta/info.json +176 -179
  17. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/meta/norm_stats.json +85 -105
  18. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/meta/stats.json +459 -459
  19. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-000.mp4 +0 -0
  20. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-001.mp4 +0 -0
  21. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-000.mp4 +0 -0
  22. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-001.mp4 +0 -0
  23. aug/beat_block_hammer-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-000.mp4 +0 -0
  24. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/data/chunk-000/file-000.parquet +2 -2
  25. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/meta/episodes/chunk-000/file-000.parquet +2 -2
  26. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/meta/info.json +176 -179
  27. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/meta/norm_stats.json +85 -105
  28. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/meta/stats.json +459 -459
  29. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-000.mp4 +0 -0
  30. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-001.mp4 +0 -0
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  37. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-000.mp4 +0 -0
  38. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-001.mp4 +0 -0
  39. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-002.mp4 +0 -0
  40. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_left_wrist → observation.images.wrist_left}/chunk-000/file-003.mp4 +0 -0
  41. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-000.mp4 +0 -0
  42. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-001.mp4 +0 -0
  43. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-002.mp4 +0 -0
  44. aug/blocks_ranking_rgb-aloha-agilex_randomized_500-1000/videos/{observation.images.cam_right_wrist → observation.images.wrist_right}/chunk-000/file-003.mp4 +0 -0
  45. aug/blocks_ranking_size/data/chunk-000/file-000.parquet +2 -2
  46. aug/blocks_ranking_size/meta/episodes/chunk-000/file-000.parquet +2 -2
  47. aug/blocks_ranking_size/meta/info.json +176 -179
  48. aug/blocks_ranking_size/meta/norm_stats.json +85 -105
  49. aug/blocks_ranking_size/meta/stats.json +459 -459
  50. aug/blocks_ranking_size/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-000.mp4 +0 -0
README.md CHANGED
@@ -2,36 +2,115 @@
2
  license: cc-by-nc-sa-4.0
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  task_categories:
4
  - robotics
 
 
 
5
  tags:
6
- - lerobot
 
 
 
 
 
7
  - robotwin
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- - bimanual-manipulation
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- - visuomotor-policy
 
 
 
10
  ---
11
 
12
- # RobotWin v3 EEF (LeRobot v3.0)
13
 
14
- RobotWin 50-task bimanual benchmark, converted to LeRobot v3.0 with **lossless stream-copied H.264 video**.
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16
- ## Format
17
 
18
- - **Per-task LeRobot v3.0 datasets** each task is a subdirectory under `clean/` or `aug/`
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- - **16D bimanual EEF**: left arm [xyz, qw, qx, qy, qz, gripper] + right arm [xyz, qw, qx, qy, qz, gripper]
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- - **Quaternion**: wxyz, scalar-first
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- - **State**: absolute pose. **Action**: absolute position + absolute quaternion + gripper
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- - **3 cameras**: `cam_high` + `cam_left_wrist` + `cam_right_wrist`, 640×480
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- - **2 subsets**: `clean` (50 demos/task) and `aug` (500 demos/task), 100 total datasets
24
- - ~32K episodes, ~6M total frames
25
- - Raw values; use `{subset}/{task}/meta/norm_stats.json` for per-task stats
26
 
27
- ## Loading
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
 
29
  ```python
30
  from lerobot.datasets import LeRobotDataset
31
 
32
- ds = LeRobotDataset("GT-111/robotwin_v3_eef/clean/adjust_bottle-demo_clean_collect_200-50")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  ```
34
 
35
- ## Acknowledgments
36
 
37
- Original dataset: robbyant/robotwin-clean-and-aug-lerobot (CC BY-NC-SA 4.0).
 
2
  license: cc-by-nc-sa-4.0
3
  task_categories:
4
  - robotics
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+ - other
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+ language:
7
+ - en
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  tags:
9
+ - synthetic
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+ - bimanual
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+ - manipulation
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+ - LeRobot
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+ - v3
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+ - end-effector-pose
15
  - robotwin
16
+ - aloha
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+ size_categories:
18
+ - n<1T
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+ pretty_name: "RoboTwin (LeRobot v3 EE)"
20
+ viewer: false
21
  ---
22
 
23
+ # RoboTwin v3 EEF (LeRobot v3)
24
 
25
+ This is a **LeRobot v3** format conversion of the [RoboTwin](https://github.com/RoboTwin-Platform/RoboTwin) bimanual benchmark (source: [robbyant/robotwin-clean-and-aug-lerobot](https://huggingface.co/datasets/robbyant/robotwin-clean-and-aug-lerobot)), reorganized into a canonical **bimanual 16D end-effector (EE) pose** representation. 50 Hz, 50 tasks, two subsets (`clean/` 50 demos/task and `aug/` 500 demos/task).
26
 
27
+ ## Original Dataset
28
 
29
+ **RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation**
 
 
 
 
 
 
 
30
 
31
+ > Chen, T., et al. *RoboTwin 2.0*. arXiv:2506.18088, 2025.
32
+
33
+ - **Original Source**: https://huggingface.co/datasets/robbyant/robotwin-clean-and-aug-lerobot
34
+ - **Project Website**: https://robotwin-platform.github.io
35
+ - **GitHub**: https://github.com/RoboTwin-Platform/RoboTwin
36
+
37
+ RoboTwin is a bimanual manipulation benchmark on an Aloha-AgileX dual-arm robot. This conversion covers the 50 official tasks in both the clean demonstration split and the domain-randomized augmented split.
38
+
39
+ ## License
40
+
41
+ This dataset is released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), consistent with the original RoboTwin LeRobot release.
42
+
43
+ ## Conversion Details
44
+
45
+ ### What we changed
46
+
47
+ 1. **Canonical Bimanual EE Pose Representation**: Proprioception and actions are a single **16D bimanual EE pose vector** — per arm: position xyz (metres) + quaternion in scalar-first **WXYZ** order + gripper, left arm first then right arm.
48
+
49
+ 2. **Next-Observation-Absolute Actions**: Row `t` stores the pose that observation row `t+1` attains. Terminal rows have no next observation; they are marked `transition_action_valid = false` and must not be supervised.
50
+
51
+ 3. **Unified camera keys**: Three 640×480 RGB views as `observation.images.head` (overhead), `observation.images.wrist_left`, and `observation.images.wrist_right`. Videos are lossless stream-copied from the source; they are not re-encoded.
52
+
53
+ 4. **LeRobot v3 Format**: Per-task datasets with sharded MP4 video and Parquet frame data at 50 Hz.
54
+
55
+ ### What we preserved
56
+
57
+ - All 50 tasks in both `clean/` and `aug/`
58
+ - Episode structure and task labels
59
+ - Frame-level timestamps
60
+ - Source numeric poses (WXYZ, next-observation-absolute)
61
+
62
+ ### Observation and action convention
63
+
64
+ - `observation.state`: 16D bimanual end-effector pose — per arm `[x, y, z, qw, qx, qy, qz, gripper]`, left arm (dims 0–7) then right arm (dims 8–15). Gripper is continuous with 0 = closed and 1 = open.
65
+ - `action`: 16D absolute bimanual end-effector pose with the same layout; row `t` is the pose attained by observation row `t+1`.
66
+ - `transition_action_valid` is `true` exactly on rows that have a contiguous next observation in the same episode; the last row of each episode is `false`.
67
+ - Cameras: `observation.images.head`, `observation.images.wrist_left`, `observation.images.wrist_right`.
68
+
69
+ ### Layout
70
+
71
+ Each task is a self-contained LeRobot v3 dataset under `clean/` or `aug/`:
72
+
73
+ ```
74
+ robotwin_v3_eef/
75
+ ├── clean/<task>/ # 50 demos / task
76
+ │ ├── data/chunk-*/file-*.parquet
77
+ │ ├── videos/observation.images.{head,wrist_left,wrist_right}/chunk-*/file-*.mp4
78
+ │ └── meta/
79
+ │ ├── info.json
80
+ │ ├── tasks.parquet
81
+ │ ├── episodes/chunk-*/file-*.parquet
82
+ │ ├── stats.json
83
+ │ └── norm_stats.json # post-pipeline normalization stats
84
+ ├── aug/<task>/ # 500 demos / task (same layout)
85
+ └── README.md
86
+ ```
87
+
88
+ ## Usage
89
 
90
  ```python
91
  from lerobot.datasets import LeRobotDataset
92
 
93
+ dataset = LeRobotDataset(
94
+ "GT-111/robotwin_v3_eef",
95
+ root="clean/adjust_bottle-demo_clean_collect_200-50",
96
+ )
97
+ ```
98
+
99
+ Per-task `meta/norm_stats.json` files are computed in the training transform space (canonical WXYZ → Rot6D → delta, before padding). The `__norm_stats__` provenance block is kept only in local trees and is stripped from this Hub projection.
100
+
101
+ ## Citation
102
+
103
+ If you use this dataset, please cite the original RoboTwin paper:
104
+
105
+ ```bibtex
106
+ @article{chen2025robotwin,
107
+ title={RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation},
108
+ author={Chen, Tianxing and others},
109
+ journal={arXiv preprint arXiv:2506.18088},
110
+ year={2025}
111
+ }
112
  ```
113
 
114
+ ## Version History
115
 
116
+ - **v3.0** (current): LeRobot v3 conversion with canonical 16D bimanual EE pose layout, next-observation-absolute actions, unified camera keys, and terminal-row validity mask
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- "description": "RobotWin bimanual 50-task LeRobot v3.0 with lossless stream-copied video. 16D bimanual EEF quaternion (wxyz, scalar-first). State: absolute pose. Action: absolute position + absolute quat + absolute gripper. Per-task structure with independent norm_stats. Clean (50 demos) and aug (500 demos) subsets. Original dataset: robbyant/robotwin-clean-and-aug-lerobot (CC BY-NC-SA 4.0)."
182
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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aug/blocks_ranking_size/videos/{observation.images.cam_high → observation.images.head}/chunk-000/file-000.mp4 RENAMED
File without changes