chankhavu/smolmo-sft-v2-seqlen64k

smolmo-sft-v2-seqlen64k A supervised fine-tuning (SFT) dataset of math problems with full chain-of-thought solutions, formatted for the Olmo 3 "Thinking" models. 2,813,055 examples · ~37.9 B tokens. Three task families: proofs, numeric-answer problems, and tool-augmented (Python) problems. Every assistant turn carries an explicit <think> … </think> reasoning trace before the answer. Olmo 3 native chat + function-calling format; every example fits within a 64k-token context.… See the full description on the dataset page: https://huggingface.co/datasets/chankhavu/smolmo-sft-v2-seqlen64k.

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