AI-dataset-evaluation-team/ArXivSQA

ArXivSQA是一个由学术论文中的标题、摘要、引言和结论部分生成的高质量问答对数据集。它旨在促进自然语言处理、机器阅读理解、自动化学术摘要和AI辅助文献综述的研究。数据集遵循严格的问答生成指南，确保问题具有学术领域的相关性和技术背景的具体性。

ArXivSQA is a dataset of high-quality question-answer pairs generated from the Title, Abstract, Introduction, and Conclusion sections of academic papers. It is designed to facilitate research in natural language processing, machine reading comprehension, automated academic summarization, and AI-assisted literature review. The dataset follows strict QA pair generation guidelines to ensure relevance to the academic domain and specificity of the technical context.