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OpenCQA: Open-ended Question Answering with Charts. (arXiv:2210.06628v1 [cs.LG])
Oct. 14, 2022, 1:11 a.m. | Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Ko Leong, Jia Qing Tan, Enamul Hoque, Shafiq Joty
cs.LG updates on arXiv.org arxiv.org
Charts are very popular to analyze data and convey important insights. People
often analyze visualizations to answer open-ended questions that require
explanatory answers. Answering such questions are often difficult and
time-consuming as it requires a lot of cognitive and perceptual efforts. To
address this challenge, we introduce a new task called OpenCQA, where the goal
is to answer an open-ended question about a chart with descriptive texts. We
present the annotation process and an in-depth analysis of our dataset. We …
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