NorQuAD

NorQuAD是首个针对挪威语的机器阅读理解问答数据集，由赫尔辛基大学和奥斯陆大学的研究团队创建。该数据集包含4,752个手工制作的问题-答案对，主要来源于挪威语的维基百科和新闻文章。数据集的创建过程包括文本选择、问题-答案对的生成和人工验证。NorQuAD旨在推动挪威语自然语言处理领域的发展，特别是在阅读理解和问答任务方面。

NorQuAD is the first machine reading comprehension (MRC) question answering dataset for the Norwegian language, developed by research teams from the University of Helsinki and the University of Oslo. This dataset contains 4,752 handcrafted question-answer pairs, primarily sourced from Norwegian Wikipedia and news articles. The dataset creation workflow includes text selection, question-answer pair generation, and manual verification. NorQuAD aims to advance the development of natural language processing (NLP) for the Norwegian language, particularly in the fields of reading comprehension and question answering tasks.