ORGFAQ

ORGFAQ是一个由IBM研究AI - 海法创建的新数据集，专注于组织机构的常见问题解答（FAQs）和用户问题。该数据集包含6988个用户问题和1579个相应的FAQs，均从就业领域的组织机构FAQ网页中提取。ORGFAQ旨在解决在组织环境中FAQs的挑战，特别是在语言和内容上的差异。数据集的创建过程涉及自动标注和人工标注两个阶段，确保了数据的高质量。ORGFAQ的应用领域包括自动生成组织FAQ和应对COVID-19疫情等紧急情况下的信息需求。

ORGFAQ is a novel dataset developed by IBM Research AI - Haifa, focusing on organizational Frequently Asked Questions (FAQs) and user questions. The dataset contains 6,988 user questions and 1,579 corresponding FAQs, all extracted from organizational FAQ webpages in the employment domain. ORGFAQ aims to address the challenges of FAQs in organizational settings, particularly discrepancies in language and content. The dataset creation process involves two stages: automatic annotation and manual annotation, ensuring high data quality. Its application scenarios include automatic generation of organizational FAQs and addressing information demands during emergencies such as the COVID-19 pandemic.