SYLLABUSQA

SYLLABUSQA是由马萨诸塞大学阿默斯特分校的研究人员创建的一个开源数据集，包含63个真实课程大纲，覆盖36个专业，共计5078个开放式课程物流相关问答对。该数据集旨在模拟学生在实际课程中可能提出的问题，涵盖了从日期、时间到软件应用等多种问题类型和答案格式。数据集的创建过程涉及众包标注者根据课程大纲撰写问答对，确保了问题的多样性和答案的准确性。SYLLABUSQA的应用领域主要集中在自动化教学助手的开发和评估，旨在通过AI技术减轻教师在回答重复性问题上的负担，提高教学效率。SYLLABUSQA is an open-source dataset created by researchers at the University of Massachusetts Amherst. It contains 63 real course syllabi spanning 36 academic majors, with a total of 5,078 open-ended course logistics-related question-answer pairs. This dataset aims to simulate questions that students may raise in actual course scenarios, covering diverse question types and answer formats ranging from inquiries about dates, times to software applications. The development of the dataset involved crowdsourced annotators composing question-answer pairs based on course syllabi, ensuring the diversity of questions and the accuracy of the answers. The primary application areas of SYLLABUSQA focus on the development and evaluation of automated teaching assistants, with the goal of leveraging AI technologies to reduce teachers' burden of answering repetitive questions and improve teaching efficiency.

搜集汇总

背景与挑战

背景概述

SYLLABUSQA是一个包含63个课程大纲和5078个问答对的教育领域数据集，覆盖36个专业，通过众包标注确保数据质量，主要用于自动化教学助手的开发和评估。