diff --git a/src/aequitas/flow/datasets/folktables.py b/src/aequitas/flow/datasets/folktables.py
index bd7bf082..ae0a55ff 100644
--- a/src/aequitas/flow/datasets/folktables.py
+++ b/src/aequitas/flow/datasets/folktables.py
@@ -231,9 +231,16 @@ def load_data(self):
                 self.data = pd.read_parquet(path)
         else:
             if self.split_type == "predefined":
-                datasets = [pd.read_csv(p) for p in path]
-                self._indexes = [d.index for d in datasets]
-                self.data = pd.concat(datasets)
+                train = pd.read_csv(path[0])
+                train_index = train.index[-1]
+                validation = pd.read_csv(path[1])
+                validation.set_index(validation.index + train_index + 1, inplace=True)
+                validation_index = validation.index[-1]
+                test = pd.read_csv(path[2])
+                test.set_index(test.index + validation_index + 1, inplace=True)
+                self._indexes = [train.index, validation.index, test.index]
+
+                self.data = pd.concat([train, validation, test])
             else:
                 self.data = pd.read_csv(path)
 
diff --git a/src/aequitas/flow/methods/preprocessing/label_flipping.py b/src/aequitas/flow/methods/preprocessing/label_flipping.py
index ae3bc96d..52f741c6 100644
--- a/src/aequitas/flow/methods/preprocessing/label_flipping.py
+++ b/src/aequitas/flow/methods/preprocessing/label_flipping.py
@@ -140,7 +140,7 @@ def _feature_suppression(self, X: pd.DataFrame, s: pd.Series) -> pd.DataFrame:
                     else self.unawareness_features
                 )
                 X_transformed = X_transformed.drop(columns=unawareness_features_list)
-        
+
         return X_transformed
 
     def fit(self, X: pd.DataFrame, y: pd.Series, s: Optional[pd.Series]) -> None: