An FAQ dataset for E-learning system used on a Japanese University

Abstract

In this data article, we present an FAQ dataset written in Japanese and its translation to English in order to train chatbot models for e-learning systems. We first collected raw Q&A data reported as the difficulties from April 2015 to July 2018 by users of the e-learning system introduced at Tokyo Metropolitan University. We then divided them into 11 categories according to features provided by the e-learning system. Finally, we integrated questions with the same answers in order to create the FAQ form. The dataset contains 427 questions and 79 answers that were examined by experts with experience in using the e-learning system for more than three years. Using this dataset, we performed statistical analyses to evaluate the qualities of the FAQ dataset. The proposed applications of the dataset include not only academic research but also activities; for example, translating from Japanese to another one like Chinese, adapting/modifying our dataset for another e-learning system, and developing language models to obtain highly accurate responses from chatbots.