appearqa
appearqa is a dataset designed for evaluating question answering systems on their ability to handle questions that require reasoning over multiple pieces of information presented in a visual context. The dataset focuses on situations where the answer is not directly stated but can be inferred by combining visual elements and their textual descriptions. It aims to push the boundaries of visual question answering (VQA) by requiring more complex reasoning processes.
The dataset typically consists of images paired with questions and answers. The questions are constructed in
appearqa is valuable for researchers developing advanced VQA models. It serves as a benchmark to measure progress