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README.md
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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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```
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