feat: introduce link to scikit-multilearn

README.md

@@ -93,7 +93,7 @@ Portuguese
   
 ### Data Splits
 
-The original authors of the dataset did not propose a standard data split. To address this, we use the Multi-label data stratification technique implemented at the scikit-multilearn library to propose a train-validation-test split. This method considers all classes for hate speech in the data and attempts to balance the representation of each class in the split.
+The original authors of the dataset did not propose a standard data split. To address this, we use the [multi-label data stratification technique](http://scikit.ml/stratification.html) implemented at the scikit-multilearn library to propose a train-validation-test split. This method considers all classes for hate speech in the data and attempts to balance the representation of each class in the split.
 
 |  name   |train|validation|test|
 |---------|----:|----:|----:|