ArXivSQA

简介

Academic Paper QA Dataset Dataset Overview ArXivSQA is a collection of high-quality question-answer (QA) pairs generated from academic papers. This dataset is designed to facilitate research in natural language processing (NLP), machine reading comprehension, automated academic summarization, and AI-assisted literature review. Each QA pair is derived from the Title, Abstract, Introduction, and Conclusion sections of an academic paper, ensuring that the questions are… See the full description on the dataset page: https://huggingface.co/datasets/AI-dataset-evaluation-team/ArXivSQA.