diff --git a/data-science-onramp/data-cleaning/clean.py b/data-science-onramp/data-cleaning/clean.py
index 6c2c00a38f2..e4ca26344f7 100644
--- a/data-science-onramp/data-cleaning/clean.py
+++ b/data-science-onramp/data-cleaning/clean.py
@@ -1,3 +1,18 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
 import datetime
 import re
 import sys
diff --git a/data-science-onramp/data-cleaning/clean_test.py b/data-science-onramp/data-cleaning/clean_test.py
index 52271061b1a..75f9a394db5 100644
--- a/data-science-onramp/data-cleaning/clean_test.py
+++ b/data-science-onramp/data-cleaning/clean_test.py
@@ -1,3 +1,18 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
 import os
 import re
 import uuid
@@ -72,6 +87,11 @@ def setup_and_teardown_table():
     job_config = bigquery.LoadJobConfig(
         autodetect=True, write_disposition="WRITE_TRUNCATE"
     )
+
+    # Logging for debugging the flake:
+    # https://github.com/GoogleCloudPlatform/python-docs-samples/issues/5312
+    print(f"df: {df}")
+    print(f"job_config: {job_config}")
     operation = bq_client.load_table_from_dataframe(df, BQ_TABLE, job_config=job_config)
 
     # Wait for job to complete