教科书级问答语料

高质量的提问和回答对应文本语料。分文科、理工科、医学、综合四个类别，包含金融、医疗、法律、电力、工业、机械、维修、生活、百科等20余个专业领域的知识问答语料。包括知识性一问一答数据和场景性连续多轮问答数据等形式。可直接用于人工智能自然语言处理的研发和应用、大语言模型研发的训练、AIGC应用的训练，也可以用作高校教学及研究的问答知识库、高校各专业领域的知识图谱、大数据的教育教学及研究等。

High-quality question-answer paired text corpora divided into four categories: Humanities, Science and Engineering, Medicine, and Comprehensive. Covering over 20 professional fields including finance, healthcare, law, electric power, industry, machinery, maintenance, daily life, encyclopedia and more, the corpora include multiple forms such as knowledge-based single-turn question-answer data and scenario-based continuous multi-turn question-answer data. This dataset can be directly used for the R&D and application of artificial intelligence natural language processing (NLP) technologies, the training of large language model (LLM) development, and the training of AIGC applications. It can also serve as a question-answer knowledge base for university teaching and research, knowledge graphs for various professional fields in colleges and universities, as well as big data-related education, teaching and research activities.

搜集汇总

背景与挑战

背景概述

该数据集为高质量的问答语料，涵盖多个专业领域，适用于AI研发和教学研究。