JPQ24/Cognitive-curriculum-v1

该数据集旨在通过提供展示结构化分析思维的训练数据，增强语言模型的推理能力，特别是通过内化方法使小型模型达到大型模型的推理性能，提供一个用于系统性假设生成、评估和验证的框架，并展示适用于多个领域的通用推理方法。

This dataset is designed to enhance the reasoning capabilities of language models by providing training data that demonstrates structured analytical thinking, particularly to enable smaller models to achieve reasoning performance comparable to larger models through methodology internalization, to provide a framework for systematic hypothesis generation, evaluation, and verification, and to demonstrate domain-general reasoning approaches applicable across multiple fields.