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ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots

2022-09-16 23:49:00
Yu-Chung Hsiao, Fedir Zubach, Maria Wang, Jindong (JD) Chen
   

Abstract

We present a new task and dataset, ScreenQA, for screen content understanding via question answering. The existing screen datasets are focused either on structure and component-level understanding, or on a much higher-level composite task such as navigation and task completion. We attempt to bridge the gap between these two by annotating 80,000+ question-answer pairs over the RICO dataset in hope to benchmark the screen reading comprehension capacity.

Abstract (translated)

URL

https://arxiv.org/abs/2209.08199

PDF

https://arxiv.org/pdf/2209.08199.pdf


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