Dataset · Hugging Face

MLL-Lab/WOVEN

Name: WOVEN
Creator: MLL-Lab
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-text-to-text, language:en, license:cc-by-4.0, size_categories:10K<n<100K, arxiv:2610.12417, region:us, world-model, visual-reasoning, physical-reasoning, spatial-reasoning, temporal-reasoning, video-generation, synthetic

WOVEN: Weaving Visual World Modeling into Multimodal LLMs [!NOTE] October 9, 2026: The training split is available now. We are uploading the validation split and the three test sets, and they will be available here soon. WOVEN is a training source and benchmark for visual transition reasoning. A transition (s, a, s′) consists of the visual state of a scene before an action, the action, and the state after it. Visual transition reasoning infers the unobserved part of a transition… See the full description on the dataset page: https://huggingface.co/datasets/MLL-Lab/WOVEN.

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Author / organization	MLL-Lab
License (as declared)	cc-by-4.0
Downloads	144 (as reported by Hugging Face)
Likes	0
Created	8 October 2026
Last updated at source	9 October 2026

world-modelvisual-reasoningphysical-reasoningspatial-reasoningtemporal-reasoningvideo-generationsynthetic

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