DermaVLM/PMC-Clinical-VQA

PMC-VQA是一个大规模的视觉问答数据集，从PubMed Central（PMC）的生物医学文章中的图表中衍生出超过170万个视觉问答（VQA）样本。该数据集的主要目标是推动多模态AI在临床和生物医学领域的研究，设计用于训练和评估模型对科学图表中呈现的复杂视觉信息的理解和推理能力。数据集中的问答对是使用Google的Gemini 2.0 Flash模型生成的。

The PMC-VQA dataset contains over 1,700,000 Visual Question Answering (VQA) samples derived from figures and charts in biomedical articles from PubMed Central (PMC). The primary goal of this dataset is to advance research in multimodal AI for the clinical and biomedical fields by training and evaluating models on their ability to comprehend and reason about the complex visual information presented in scientific figures. The question-answer pairs in the dataset were generated using Googles Gemini 2.0 Flash model.