Dataset Card for AMATH-SFT

This dataset is designed to train a MLLM capable of performing slow thinking.

Citation

If you use this dataset in your research, please cite:

@article{xiang2025can,
  title={Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?},
  author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Cai, Kaixin and Yin, Yiyang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and others},
  journal={arXiv preprint arXiv:2503.06252},
  year={2025}
}
@article{xiang2024atomthink,
  title={AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning},
  author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and Zeng, Yihan and Han, Jianhua and others},
  journal={arXiv preprint arXiv:2411.11930},
  year={2024}
}

License

The dataset is released under the Apache 2.0 license. Please ensure proper attribution when using this dataset.