Update README.md

README.md

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 You can download our collected diagram images from [this link](https://huggingface.co/datasets/U4R/GeoX-data/pretrain-data.zip).
 
-Additionally, we used existing geometric text to build a corpus, detailed in [our paper]().
+Additionally, we use existing geometric text to build a corpus, which is detailed in [our paper]().
 
 ### Step 2. Data for Geometry-Language Alignment
 
@@ -46,7 +46,7 @@ We use the GeoQA, UniGeo, Geometry3K, and PGPS9K datasets for fine-tuning and ev
 <font color="#dd0000">Note:</font> Due to copyright restrictions, we are currently only providing links for these datasets. Full datasets for tuning and evaluation organized by us will be provided via email. If you need it, please contact us by [email](mailto:limc22@m.fudan.edu.cn).
 
 
-For more details, please refer to [our paper]() and our [GitHub repository](https://github.com/UniModal4Reasoning/GeoX). If you find our work helpful, please consider starring ⭐ in this repository and citing us:
+For more details, please refer to [our paper]() and [GitHub repository](https://github.com/UniModal4Reasoning/GeoX). If you find our work helpful, please consider starring ⭐ in this repository and citing us:
 
 ```bibtex