diff --git a/fedot/core/data/data_split.py b/fedot/core/data/data_split.py
index b3ba520fce..73b4f21da2 100644
--- a/fedot/core/data/data_split.py
+++ b/fedot/core/data/data_split.py
@@ -33,21 +33,28 @@ def _split_input_data_by_indexes(origin_input_data: Union[InputData, MultiModalD
         target = np.take(origin_input_data.target, index, 0)
         features = np.take(origin_input_data.features, index, 0)
 
+        if origin_input_data.categorical_features is not None:
+            categorical_features = np.take(origin_input_data.categorical_features, index, 0)
+        else:
+            categorical_features = origin_input_data.categorical_features
+
         if retain_first_target and len(target.shape) > 1:
             target = target[:, 0]
 
-        data = InputData(idx=idx,
-                         features=features,
-                         target=target,
-                         task=deepcopy(origin_input_data.task),
-                         data_type=origin_input_data.data_type,
-                         supplementary_data=origin_input_data.supplementary_data,
-                         categorical_features=origin_input_data.categorical_features,
-                         categorical_idx=origin_input_data.categorical_idx,
-                         numerical_idx=origin_input_data.numerical_idx,
-                         encoded_idx=origin_input_data.encoded_idx,
-                         features_names=origin_input_data.features_names,
-                         )
+        data = InputData(
+            idx=idx,
+            features=features,
+            target=target,
+            task=deepcopy(origin_input_data.task),
+            data_type=origin_input_data.data_type,
+            supplementary_data=origin_input_data.supplementary_data,
+            categorical_features=categorical_features,
+            categorical_idx=origin_input_data.categorical_idx,
+            numerical_idx=origin_input_data.numerical_idx,
+            encoded_idx=origin_input_data.encoded_idx,
+            features_names=origin_input_data.features_names,
+        )
+
         return data
     else:
         raise TypeError(f'Unknown data type {type(origin_input_data)}')