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Dataset · Hugging Face

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 / organizationyuuu94
License (as declared)cc-by-4.0
Downloads624 (as reported by Hugging Face)
Likes2
Created3 August 2026
Last updated at source3 September 2026
roboticsvision-language-actionchain-of-thoughtliberorobotwin
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