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@@ -102,3 +102,17 @@ MolParser-7M contains nearly 8 million paired image-SMILES data. It should be no
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  * **MolParser-Val**: A small validation set carefully selected in-the-wild in `valid` subset. It can be used to quickly valid the model ability during the training process;
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  * **WildMol Benchmark**: 20k molecule structure images cropped from real patents or paper, `test_simple_10k`(WildMol-10k)subset and `test_markush_10k`(WildMol-10k-M)subset;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  * **MolParser-Val**: A small validation set carefully selected in-the-wild in `valid` subset. It can be used to quickly valid the model ability during the training process;
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  * **WildMol Benchmark**: 20k molecule structure images cropped from real patents or paper, `test_simple_10k`(WildMol-10k)subset and `test_markush_10k`(WildMol-10k-M)subset;
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+ ## 📖 Citation
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+ If you use this datasets in your work, please cite:
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+ ```
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+ @article{fang2024molparser,
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+ title={Molparser: End-to-end visual recognition of molecule structures in the wild},
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+ author={Fang, Xi and Wang, Jiankun and Cai, Xiaochen and Chen, Shangqian and Yang, Shuwen and Tao, Haoyi and Wang, Nan and Yao, Lin and Zhang, Linfeng and Ke, Guolin},
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+ journal={arXiv preprint arXiv:2411.11098},
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+ year={2024}
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+ }
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+ ```