The Multi-Domain-Reasoning-SFT dataset by EnDevSols is a large-scale, high-quality Supervised Fine-Tuning (SFT) dataset designed to train large language models in deep reasoning, technical analysis, and complex problem-solving.
Consisting of nearly 580,000 meticulously structured examples, this dataset is specifically engineered to teach models how to "think" before they answer. It separates the internal cognitive process… See the full description on the dataset page: https://huggingface.co/datasets/EnDevSols/Multi-Domain-Reasoning-SFT.