Update README.md

README.md

@@ -54,7 +54,7 @@ It uses an **XGBoost classifier** trained on normalized ingredient data.
 - **Input**: List of ingredients (`["salt", "flour", "sugar", ...]`)  
 - **Output**: Cuisine class (e.g. `"italian"`) or Region (e.g. `"Central Europe"`)  
 - **Algorithm**: [XGBoost](https://xgboost.ai/)  
-- **Training Data**: Kaggle *What’s Cooking?* dataset, ingredients normalized using AllRecipes dataset  
+- **Training Data**: Kaggle [*What’s Cooking?*](https://www.kaggle.com/datasets/kaggle/recipe-ingredients-dataset) dataset, ingredients normalized using AllRecipes dataset  
 - **Train/Test Split**: 80 / 20, stratified  
 - **Cross Validation**: 5-fold CV with `random_state=42`