Duke-de-Artois/ChemVLM_test_data

arxiv.org/abs/2408.07246
Using this dataset, please kindly cite:

@inproceedings{li2025chemvlm,
  title={Chemvlm: Exploring the power of multimodal large language models in chemistry area},
  author={Li, Junxian and Zhang, Di and Wang, Xunzhi and Hao, Zeying and Lei, Jingdi and Tan, Qian and Zhou, Cai and Liu, Wei and Yang, Yaotian and Xiong, Xinrui and others},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={39},
  number={1},
  pages={415--423},
  year={2025}
}

[🏆AAAI2025] ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area: official test set

You can find our ChemOCR and MMChemBench here.