TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains

arXiv:2404.19205v1 Announce Type: new
Abstract: In this paper, we establish a benchmark for table visual question answering, referred to as the TableVQA-Bench, derived from pre-existing table question-answering (QA) and table structure recognition datasets. It is important to note that existing datasets have not incorporated images or QA pairs, which are two crucial components of TableVQA. As such, the primary objective of this paper is to obtain these necessary components. Specifically, images are sourced either through the application of a \textit{stylesheet} …

arxiv benchmark cs.ai cs.cv domains multiple question question answering table type visual