JDocQA: Japanese Document Question Answering Dataset for Generative Language Models

arXiv:2403.19454v1 Announce Type: new
Abstract: Document question answering is a task of question answering on given documents such as reports, slides, pamphlets, and websites, and it is a truly demanding task as paper and electronic forms of documents are so common in our society. This is known as a quite challenging task because it requires not only text understanding but also understanding of figures and tables, and hence visual question answering (VQA) methods are often examined in addition to textual …

abstract arxiv cs.cl dataset document documents electronic forms generative japanese language language models paper question question answering reports slides society type websites