yuuu94/W2-VLA-CoT
World-to-Wrist: Offline CoT Labels This dataset contains frame-aligned offline chain-of-thought annotations used to train W²-VLA policies on LIBERO, RoboTwin, and four real-world manipulation tasks. Matching LeRobot action data is available in W2-VLA-Training-Data. Dataset Structure W2-VLA-CoT/ ├── libero/ │ ├── libero_10_no_noops_1.0.0_lerobot/ │ ├── libero_goal_no_noops_1.0.0_lerobot/ │ ├── libero_object_no_noops_1.0.0_lerobot/ │ └──… See the full description on the dataset page: https://huggingface.co/datasets/yuuu94/W2-VLA-CoT.
| Author / organization | yuuu94 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 624 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 3 August 2026 |
| Last updated at source | 3 September 2026 |
Popularity, last 3 days
624 now (+72 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from yuuu94
- yuuu94/W2-VLA-Training-DataDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.