diff --git a/README.md b/README.md
index b5a1124..d123385 100644
--- a/README.md
+++ b/README.md
@@ -27,9 +27,9 @@ pip install -r requirements.txt
 1. Run `data_preprocess/generate_mask.py` to generate Table and Column Mask of corresponding images.
 1. Follow the `TableNet.ipynb` notebook to train and test the model.
 
-## Challanges
+## Challenges
 * Require a very decent System with a good GPU for accurate result on High pixel images. 
 
 ## Dataset
 
-Download the dataset provided in paper : [Marmot Dataset](https://drive.google.com/drive/folders/1QZiv5RKe3xlOBdTzuTVuYRxixemVIODp). 
\ No newline at end of file
+Download the dataset provided in paper : [Marmot Dataset](https://drive.google.com/drive/folders/1QZiv5RKe3xlOBdTzuTVuYRxixemVIODp).