Update README.md

README.md

@@ -97,7 +97,7 @@ MolParser-7M contains nearly 8 million paired image-SMILES data. It should be no
 
 * **MolParser-7M (Pretrain)**: More than 7.7M synthetic training data in `pretrain_synthetic_7M` subset;
 
-* **MolParser-SFT**: Nearly 400k samples for fine-tuning stage in `sft_real` subset. (We are organizing an OCSR competition based on MolParser-7M, so we have reserved part of the MolParser-SFT data for the competition. Stay tuned!)
+* **MolParser-SFT**: Human-labeled real molecule figures for fine-tuning stage in `sft_real` subset. (We are organizing an OCSR competition based on MolParser-7M, so we have reserved part of the MolParser-SFT data for the competition. Stay tuned!)
 
 * **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;
 
@@ -109,10 +109,11 @@ MolParser-7M contains nearly 8 million paired image-SMILES data. It should be no
 If you use this datasets in your work, please cite:
 
 ```
-@article{fang2024molparser,
+@inproceedings{fang2025molparser,
   title={Molparser: End-to-end visual recognition of molecule structures in the wild},
   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},
-  journal={arXiv preprint arXiv:2411.11098},
-  year={2024}
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+  pages={24528--24538},
+  year={2025}
 }
 ```