mm-eval/TableVQA-Bench

这是一个多模态数据集，包含图像和文本消息，设计用于视觉问答、表格事实验证和金融表格问答等任务。数据集分为四个子集：vwtq（视觉问答）、vwtq_syn（合成视觉问答）、vtabfact（表格事实验证）和fintabnetqa（金融表格问答），每个子集包含数百个示例，总数据量约277MB。This is a multimodal dataset that includes images and text messages, designed for tasks such as visual question answering, table fact verification, and financial table question answering. The dataset is divided into four subsets: vwtq (visual question answering), vwtq_syn (synthetic visual question answering), vtabfact (table fact verification), and fintabnetqa (financial table question answering), each containing hundreds of examples, with a total data size of approximately 277MB.