Update README.md

README.md

@@ -13,11 +13,11 @@ Average Validation Loss (Mse): 0.0836
 Epoch: 3 
 
 # The dataset for training **MHC-II-EpiPred**
-The original data was downloaded from IEDB data base at https://www.iedb.org/home_v3.php.
-The full data can be downloaded at https://www.iedb.org/downloader.php?file_name=doc/tcell_full_v3.zip
-This dataset comprises 543,717 T-cell epitope entries, spanning a variety of species and infections caused by diverse viruses. The epitope information included encompasses a broad range of potential sources, including data relevant to disease immunotherapy.
+The original data was downloaded from IEDB data base at https://www.iedb.org/home_v3.php.  
+The full data can be downloaded at https://www.iedb.org/downloader.php?file_name=doc/tcell_full_v3.zip  
+This dataset comprises 543,717 T-cell epitope entries, spanning a variety of species and infections caused by diverse viruses. The epitope information included encompasses a broad range of potential sources, including data relevant to disease immunotherapy.  
 
-Finally, the dataset we used to train the model contains 60,256 positive and negative samples, which is stored in https://github.com/pengsihua2023/MHC-II-EpiPred/tree/main/data. 
+Finally, the dataset we used to train the model contains 60,256 positive and negative samples, which is stored in https://github.com/pengsihua2023/MHC-II-EpiPred/tree/main/data.   
 
 # Model training code at GitHub
 https://github.com/pengsihua2023/MHC-II-TCEpiPred