Update README.md

README.md

@@ -23,7 +23,7 @@ This is a ReactionT5 pre-trained to predict the products of reactions. You can u
 
 - **Repository:** https://github.com/sagawatatsuya/ReactionT5v2
 - **Paper:** https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01075-4
-- **Demo:** https://huggingface.co/spaces/sagawa/ReactionT5_task_forward
+- **Demo:** https://huggingface.co/spaces/sagawa/ReactionT5
 
 ## Uses
 
@@ -52,7 +52,7 @@ output # 'CN1CCC=C(CO)C1'
 ### Training Procedure 
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-We used the [Open Reaction Database (ORD) dataset](https://drive.google.com/file/d/1fa2MyLdN1vcA7Rysk8kLQENE92YejS9B/view?usp=drive_link) for model training. In addition, we used [USPTO_MIT dataset](https://yzhang.hpc.nyu.edu/T5Chem/index.html)'s test split to prevent data leakage.
+We used the [Open Reaction Database (ORD) dataset](https://drive.google.com/file/d/1JozA2OlByfZ-ILt5H5YrTjLJvSvD8xdL/view?usp=drive_link) for model training. In addition, we used [USPTO_MIT dataset](https://yzhang.hpc.nyu.edu/T5Chem/index.html)'s test split to prevent data leakage.
 The command used for training is the following. For more information about data preprocessing and training, please refer to the paper and GitHub repository.
 
 ```python