GeoSQA

GeoSQA是一个针对高中地理领域的情景式问答数据集，包含1,981个情景和4,110个多选题。数据集中的每个图表都经过人工标注，提供了高质量的自然语言描述，以支持NLP研究。该数据集的创建旨在解决地理领域情景理解、跨模态知识整合和推理的挑战，适用于自然语言基础的情景问答、视觉情景问答以及图表到文本的任务。

GeoSQA is a scenario-based question answering dataset focused on the high school geography domain, consisting of 1,981 scenarios and 4,110 multiple-choice questions. Each chart within the dataset has undergone manual annotation to provide high-quality natural language descriptions, thereby supporting natural language processing (NLP) research. This dataset was developed to tackle the challenges of scenario understanding, cross-modal knowledge integration and reasoning in the geography domain, and is applicable to natural language-based scenario QA, visual scenario QA, as well as chart-to-text tasks.