Compumacy/NMT-Crossthinking

Nemotron-CrossThink是一个多领域强化学习数据集，用于提高大型语言模型在通用和数学推理方面的能力。该数据集包括从CommonCrawl和高质量书籍中整理的问答对，覆盖了物理、法律、社会科学和经济学等多个学科领域。数据集分为两个部分：Nemotron-CrossThink-QA和Nemotron-CrossThink-Math，分别用于通用推理和数学问题解决。Nemotron-CrossThink is a multi-domain reinforcement learning dataset designed to enhance general and mathematical reasoning in large language models. The dataset comprises question-answer pairs curated and synthesized from CommonCrawl and high-quality books, covering disciplines such as physics, law, social science, and economics. It is divided into two parts: Nemotron-CrossThink-QA for general reasoning and Nemotron-CrossThink-Math for mathematical problem-solving.