diff --git a/src/datasets/arrow_dataset.py b/src/datasets/arrow_dataset.py
index c0e41fbbfb1..369287d2dea 100644
--- a/src/datasets/arrow_dataset.py
+++ b/src/datasets/arrow_dataset.py
@@ -793,7 +793,7 @@ def class_encode_column(self, column: str) -> "Dataset":
         dset = dset.map(lambda batch: {column: dst_feat.str2int(batch)}, input_columns=column, batched=True)
         dset = concatenate_datasets([self.remove_columns([column]), dset], axis=1)
 
-        new_features = copy.deepcopy(dset.features)
+        new_features = dset.features.copy()
         new_features[column] = dst_feat
         dset = dset.cast(new_features)
 
@@ -2791,7 +2791,7 @@ def add_column(self, name: str, column: Union[list, np.array], new_fingerprint:
         # Concatenate tables horizontally
         table = ConcatenationTable.from_tables([self._data, column_table], axis=1)
         # Update features
-        info = copy.deepcopy(self.info)
+        info = self.info.copy()
         info.features.update(Features.from_arrow_schema(column_table.schema))
         table = update_metadata_with_features(table, info.features)
         return Dataset(table, info=info, split=self.split, indices_table=self._indices, fingerprint=new_fingerprint)
@@ -3017,7 +3017,7 @@ def add_item(self, item: dict, new_fingerprint: str):
             indices_table = concat_tables([self._indices, item_indices_table])
         return Dataset(
             table,
-            info=copy.deepcopy(self.info),
+            info=self.info.copy(),
             split=self.split,
             indices_table=indices_table,
             fingerprint=new_fingerprint,
diff --git a/src/datasets/features.py b/src/datasets/features.py
index 8e432f2523a..26c77cf56a3 100644
--- a/src/datasets/features.py
+++ b/src/datasets/features.py
@@ -15,6 +15,7 @@
 
 # Lint as: python3
 """ This class handle features definition in datasets and some utilities to display table type."""
+import copy
 import re
 from collections.abc import Iterable
 from dataclasses import dataclass, field, fields
@@ -960,5 +961,5 @@ def encode_batch(self, batch):
             encoded_batch[key] = [encode_nested_example(self[key], obj) for obj in column]
         return encoded_batch
 
-    def copy(self):
-        return Features(super().copy())
+    def copy(self) -> "Features":
+        return copy.deepcopy(self)