Yana/

ft-llm-2026-reasoning-sft

A supervised fine-tuning (SFT) dataset of mathematical chain-of-thought traces used in Phase 2 of the COMPASS project to enhance the reasoning capability of a Japanese VLM's LLM backbone. Reasoning traces were distilled from a Qwen3-30B teacher over a broad pool of public math-reasoning datasets (GSM8K, MATH, SVAMP, AQuA-RAT, MathInstruct, MGSM-ja, Orca Math, NuminaMath-CoT, OpenR1-Math, Open Math Reasoning, and others). Each sample follows a structured XML… See the full description on the dataset page: https://huggingface.co/datasets/Yana/ft-llm-2026-reasoning-sft.