SVECTOR-CORPORATION/ThinkChain-20M

SVECTOR-CORPORATION/ThinkChain-20M是一个合成推理数据集，包含超过2200万条使用Spec-T1生成的通用推理问题和回答。该数据集覆盖了社会科学、自然科学、教育、创意写作和一般对话等多个非代码/数学领域的主题。数据集的总行数超过2200万行，总标记数达到3580亿个。可以使用该数据集通过监督微调(SFT)来精细调整更小、更高效的模型，模拟大型模型如Spec-T1的推理能力。The SVECTOR-CORPORATION/ThinkChain-20M is a synthetic reasoning dataset containing over 22 million general reasoning questions and responses generated using Spec-T1. It covers a wide range of non-code/math topics such as social and natural sciences, education, creative writing, and general conversations. The dataset has a total of over 22 million rows and 35.8 billion tokens. It can be used to fine-tune smaller, more efficient models to mimic the reasoning capabilities of larger models like Spec-T1 through supervised fine-tuning (SFT).