SyllabusQA: A Course Logistics Question Answering Dataset

arXiv:2403.14666v1 Announce Type: cross
Abstract: Automated teaching assistants and chatbots have significant potential to reduce the workload of human instructors, especially for logistics-related question answering, which is important to students yet repetitive for instructors. However, due to privacy concerns, there is a lack of publicly available datasets. We introduce SyllabusQA, an open-source dataset with 63 real course syllabi covering 36 majors, containing 5,078 open-ended course logistics-related question-answer pairs that are diverse in both question types and answer formats. Since many …

abstract arxiv assistants automated chatbots concerns course cs.cl cs.cy cs.ir cs.lg dataset datasets however human logistics privacy question question answering reduce students teaching type