We introduce SuperCLUE-Math6(SC-Math6), a new benchmark dataset to evaluate the mathematical reasoning abilities of Chinese language models. SC-Math6 is designed as an upgraded Chinese version of the GSM8K dataset with enhanced difficulty, diversity, and application scope. It consists of over 2000 mathematical word problems requiring multi-step reasoning and providing natural language solutions. We propose an innovative scheme to quantify the reasoning capability of large models based on performance over problems with different reasoning steps. Experiments on 13 representative Chinese models demonstrate a clear stratification of reasoning levels, with top models like GPT-4 showing superior performance. SC-Math6 fills the gap in Chinese mathematical reasoning benchmarks and provides a comprehensive testbed to advance the intelligence of Chinese language models.

翻译：我们提出了SuperCLUE-Math6（SC-Math6）这一全新基准数据集，用于评估中文语言模型的数学推理能力。SC-Math6是GSM8K数据集的升级中文版本，具有更高的难度、多样性和应用范围。该数据集包含2000多道数学应用题，要求多步推理并提供自然语言解答方案。我们提出了一种创新方案，根据模型在不同推理步数问题上的表现，量化其推理能力。在13个代表性中文模型上的实验表明，推理能力呈现显著分层，其中GPT-4等顶级模型展现出卓越性能。SC-Math6填补了中文数学推理基准的空白，为提升中文语言模型的智能水平提供了全面测试平台。