MLL-Lab/MindCube

MindCube: Spatial Mental Modeling from Limited Views MindCube is a novel benchmark designed to evaluate how well Vision Language Models (VLMs) can form robust spatial mental models from limited visual views. It comprises 21,154 questions across 3,268 images, assessing capabilities such as cognitive mapping (representing positions), perspective-taking (orientations), and mental simulation (dynamics for "what-if" movements). The dataset aims to expose critical gaps in existing VLMs'… See the full description on the dataset page: https://huggingface.co/datasets/MLL-Lab/MindCube.

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