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RabotniKuma/Fast-Math-R1-SFT

This repository contains the First stage SFT dataset as presented in the paper A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning. This dataset is used for the intensive Supervised Fine-Tuning (SFT) phase, crucial for pushing the model's mathematical accuracy. Project GitHub Repository: https://github.com/RabotniKuma/Kaggle-AIMO-Progress-Prize-2-9th-Place-Solution Dataset Construction This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/RabotniKuma/Fast-Math-R1-SFT.

Author / organizationRabotniKuma
License (as declared)apache-2.0
Downloads166 (as reported by Hugging Face)
Likes4
Created15 April 2025
Last updated at source15 July 2025
mathematicsreasoningllmsupervised-fine-tuningreinforcement-learningaimo
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