AmirMohseni/CurveBench-Easy

CurveBench-Easy Paper | Code | Collection CurveBench-Easy is the foundational split of CurveBench, a benchmark designed to evaluate the topological reasoning capabilities of large vision-language models (VLMs).Each sample is a hand-drawn image of disjoint curves paired with the exact rooted-tree structure that encodes the nestedness relationships visible in the image. Related dataset: the four harder categories (Polygon, Topographical, Maze, Counting) live in… See the full description on the dataset page: https://huggingface.co/datasets/AmirMohseni/CurveBench-Easy.

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