groundingauburn/HoT

Fact-Enhanced Math Question Dataset是一个包含数学词汇、逻辑推理、问题回答和阅读理解问题的数据集。该数据集使用XML标签对事实进行自动格式化，旨在促进可解释AI（XAI）和人工智能交互的研究。每个问题都经过重新格式化，以显式突出关键事实，并使用XML样式的标签（例如<fact1>、<fact2>等），答案解释遵循逐步结构化格式。

The Fact-Enhanced Math Question Dataset includes math word, logical reasoning, question answering, and reading comprehension problems. The dataset features automatically reformatted questions and answers using XML tags for facts, designed to facilitate research in explainable AI (XAI) and Human-AI interaction. Each question is reformatted to explicitly highlight key facts using XML-style tags (e.g., `<fact1>`, `<fact2>`, etc.), and the answer explanation follows a step-by-step structured format.