diff --git a/s1_development_environment/deep_learning_software.md b/s1_development_environment/deep_learning_software.md
index 4eb09d73e..dc4b57ef5 100644
--- a/s1_development_environment/deep_learning_software.md
+++ b/s1_development_environment/deep_learning_software.md
@@ -172,7 +172,7 @@ pip install gdown
 gdown --folder 'https://drive.google.com/drive/folders/1ddWeCcsfmelqxF8sOGBihY9IU98S9JRP?usp=sharing'
 ```
 
-The data should be placed in a folder subfolder called `data/corruptedmnist` in the root of the project. Your overall
+The data should be placed in a folder subfolder called `data/corruptmnist` in the root of the project. Your overall
 task is the following:
 
 > **Implement an MNIST neural network that achieves at least 85% accuracy on the test set.**
diff --git a/s5_continuous_integration/pre_commit.md b/s5_continuous_integration/pre_commit.md
index 60fec75a7..8999c7495 100644
--- a/s5_continuous_integration/pre_commit.md
+++ b/s5_continuous_integration/pre_commit.md
@@ -145,6 +145,7 @@ this will make sure that the file is automatically executed whenever we run `git
             - id: ruff-format
             # validate if all is fine with preview mode
             - id: ruff
+        ```
 
 8. (Optional) Add more hooks to your `.pre-commit-config.yaml`.