sharinka0715/X-WAM-RoboCasa
X-WAM Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising Dataset Summary This is the RoboCasa fine-tuning dataset used to train the X-WAM unified 4D World Action Model. It packages single-arm kitchen manipulation demonstrations into a unified multi-view RGB-D video + low-dimensional state/action format, where each episode provides synchronized RGB videos, depth videos, end-effector proprioception, actions, and language… See the full description on the dataset page: https://huggingface.co/datasets/sharinka0715/X-WAM-RoboCasa.
| Author / organization | sharinka0715 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 502 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 May 2026 |
| Last updated at source | 6 June 2026 |
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