diff --git a/datasets/flwr_datasets/utils.py b/datasets/flwr_datasets/utils.py
index 17fc263078a8..ac3beae66a9c 100644
--- a/datasets/flwr_datasets/utils.py
+++ b/datasets/flwr_datasets/utils.py
@@ -134,29 +134,23 @@ def divide_dataset(
     Use `divide_dataset` with division specified as a list.
 
     >>> from flwr_datasets import FederatedDataset
-    >>> from flwr_datasets.utils import concatenate_divisions
+    >>> from flwr_datasets.utils import divide_dataset
     >>>
     >>> fds = FederatedDataset(dataset="mnist", partitioners={"train": 100})
-    >>> concatenated_divisions = concatenate_divisions(
-    ...     partitioner=fds.partitioners["train"],
-    ...     partition_division=[0.8, 0.2],
-    ...     division_id=1
-    ... )
-    >>> print(concatenated_divisions)
+    >>> partition = fds.load_partition(0)
+    >>> division = [0.8, 0.2]
+    >>> train, test = divide_dataset(dataset=partition, division=division)
 
     Use `divide_dataset` with division specified as a dict
     (this accomplishes the same goal as the example with a list above).
 
     >>> from flwr_datasets import FederatedDataset
-    >>> from flwr_datasets.utils import concatenate_divisions
+    >>> from flwr_datasets.utils import divide_dataset
     >>>
-    >>> fds = FederatedDataset(dataset="mnist", partitioners={"train": 100})
-    >>> concatenated_divisions = concatenate_divisions(
-    ...     partitioner=fds.partitioners["train"],
-    ...     partition_division={"train": 0.8, "test": 0.2},
-    ...     division_id="test",
-    ... )
-    >>> print(concatenated_divisions)
+    >>> partition = fds.load_partition(0)
+    >>> division = {"train": 0.8, "test": 0.2}
+    >>> train_test = divide_dataset(dataset=partition, division=division)
+    >>> train, test = train_test["train"], train_test["test"]
     """
     _check_division_config_correctness(division)
     dataset_length = len(dataset)