diff --git a/google/cloud/aiplatform/datasets.py b/google/cloud/aiplatform/datasets.py
index 848f902df2..68d90b7f51 100644
--- a/google/cloud/aiplatform/datasets.py
+++ b/google/cloud/aiplatform/datasets.py
@@ -161,12 +161,6 @@ def create(
                 Instantiated representation of the managed dataset resource.
         """
 
-        # Validate that source and import schema are passed together or not at all
-        if bool(gcs_source) ^ bool(import_schema_uri):
-            raise ValueError(
-                "Please provide both GCS source and import_schema_uri to import data or omit both."
-            )
-
         is_tabular_dataset_metadata = (
             metadata_schema_uri == schema.dataset.metadata.tabular
         )
diff --git a/tests/unit/aiplatform/test_datasets.py b/tests/unit/aiplatform/test_datasets.py
index ba9b1c870f..6f946d811b 100644
--- a/tests/unit/aiplatform/test_datasets.py
+++ b/tests/unit/aiplatform/test_datasets.py
@@ -242,20 +242,6 @@ def test_create_and_import_dataset(self, create_dataset_mock, import_data_mock):
         expected_dataset.name = _TEST_NAME
         assert my_dataset._gca_resource == expected_dataset
 
-    @pytest.mark.usefixtures("get_dataset_mock")
-    def test_create_and_import_dataset_without_import_schema_uri(
-        self, create_dataset_mock
-    ):
-        with pytest.raises(ValueError):
-            aiplatform.init(project=_TEST_PROJECT)
-
-            Dataset.create(
-                display_name=_TEST_DISPLAY_NAME,
-                metadata_schema_uri=_TEST_METADATA_SCHEMA_URI_NONTABULAR,
-                labels=_TEST_LABEL,
-                gcs_source=_TEST_SOURCE_URI_GCS,
-            )
-
     @pytest.mark.usefixtures("get_dataset_mock")
     def test_import_data(self, import_data_mock):
         aiplatform.init(project=_TEST_PROJECT)