Bas95/claude-opus-4.6-10000x

这是一个使用Claude Opus 4.6合成的高保真推理数据集，旨在捕捉模型的内部思维链和推理轨迹，特别关注数学准确性和结构化逻辑推理。该数据集适用于监督微调（SFT）和蒸馏，使较小的开源模型能够继承Claude Opus 4.6的复杂推理模式。数据集结合了高难度数学问题（GSM8K, MATH）与通用逻辑谜题和多步指令，每行包含一个隐藏的推理轨迹，模型在提供最终答案之前会思考问题。通过让微调模型接触这些内部独白，生成的模型学会了过程导向的思考，而不仅仅是答案的模式匹配。

This is a high-fidelity reasoning dataset synthesized using Claude Opus 4.6. The dataset is designed to capture the models internal Chain of Thought and reasoning traces, specifically focusing on mathematical accuracy and structured logical deduction. The dataset is intended for Supervised Fine-Tuning (SFT) and Distillation, allowing smaller open-source models to inherit the sophisticated reasoning patterns of Claude Opus 4.6. This collection combines high-difficulty math problems (GSM8K, MATH) with general-purpose logic puzzles and multi-step instructions. Each row includes a hidden reasoning trace where the model thinks through the problem before providing the final answer. By exposing the fine-tuned model to these internal monologues, the resulting model learns process-oriented thinking rather than just pattern-matching for answers.