CCZZJJ/FigCodeBench

FigCodeBench FigCodeBench is a cutting-edge benchmark dataset designed to evaluate the "Figure-to-Coding" capabilities of Multimodal Large Language Models (MLLMs). It tests how well an AI can accurately reproduce complex figures, charts, and plots by generating the corresponding source code in various programming and typesetting languages based on visual inputs. Repository Structure The dataset is organized into four top-level directories. Directory names are… See the full description on the dataset page: https://huggingface.co/datasets/CCZZJJ/FigCodeBench.

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