SFT-Collection is a large-scale, curated corpus for supervised fine-tuning (SFT)
of reasoning-oriented language models. It combines, filters, deduplicates and
language-extends a broad set of public reasoning datasets into a single,
consistent schema. The collection focuses on chain-of-thought reasoning
traces across math, code, science, and general reasoning — in English and
five additional languages (German… See the full description on the dataset page:
https://huggingface.co/datasets/ahmad21omar/SFT-Collection.
