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Dataset · Hugging Face

introvoyz045/RoVid-X

Rethinking Video Generation Model for the Embodied World If you like our project, please give us a star ⭐ on GitHub for the latest update. Key features 4M robotic video clips(10K+ hours) for large-scale video generation training. 1300+ fine-grained robotic skills, covering diverse actions and task primitives. Multi-modal physical annotations, including RGB, depth, and optical flow. Multi-robot and multi-task diversity… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz045/RoVid-X.

Author / organizationintrovoyz045
License (as declared)cc-by-4.0
Downloads1K (as reported by Hugging Face)
Likes0
Created5 October 2026
Last updated at source5 October 2026
robotics video generationtext-to-videoimage-to-videovideo-generationlarge-scalebenchmarkevaluation
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