高考数学CoT数据集

高考数学 CoT 数据集可用于训练大语言模型提升数学推理能力，为教育场景提供个性化辅导和教学策略优化支持，还能助力认知科学研究，其价值在于填补高难度理科数据集缺口，推动 AI 驱动的数学学习与教育革新。

The Gaokao Mathematics Chain-of-Thought (CoT) Dataset can be employed to train large language models (LLMs) to bolster their mathematical reasoning capabilities, offer support for personalized tutoring and teaching strategy optimization in educational settings, and facilitate cognitive science research. Its key value lies in filling the gap of high-difficulty STEM datasets, thereby advancing AI-driven mathematics learning and educational innovation.

搜集汇总

背景与挑战

背景概述

高考数学CoT数据集旨在训练大语言模型提升数学推理能力，支持教育场景的个性化辅导和教学策略优化，并助力认知科学研究。该数据集填补了高难度理科数据集的缺口，推动了AI驱动的数学学习与教育革新。