Datasets:
metadata
license: mit
task_categories:
- text-generation
- image-to-text
language:
- en
- zh
tags:
- chemistry
- code
size_categories:
- 10K<n<100K
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. Preprint version (do not cite this): arxiv.org/abs/2408.07246