diff --git a/tfx/examples/penguin/penguin_utils_cloud_tuner.py b/tfx/examples/penguin/penguin_utils_cloud_tuner.py
index 15b02c83ed..38def78e58 100644
--- a/tfx/examples/penguin/penguin_utils_cloud_tuner.py
+++ b/tfx/examples/penguin/penguin_utils_cloud_tuner.py
@@ -229,7 +229,7 @@ def tuner_fn(fn_args: tfx.components.FnArgs) -> tfx.components.TunerFnResult:
             datetime.datetime.now().strftime('%Y%m%d%H'))
 
   if _CLOUD_FIT_IMAGE == 'gcr.io/my-project-id/cloud_fit':
-    raise ValueError('Build your own cloud_fit image, ' +
+    raise ValueError('Build your own cloud_fit image, '
                      'default dummy one is used!')
 
   tuner = cloud_tuner.DistributingCloudTuner(
diff --git a/tfx/experimental/templates/container_based_test_case.py b/tfx/experimental/templates/container_based_test_case.py
index 6be904038b..d241d3e108 100644
--- a/tfx/experimental/templates/container_based_test_case.py
+++ b/tfx/experimental/templates/container_based_test_case.py
@@ -102,7 +102,7 @@ def _prepare_data(self):
     io_utils.copy_file(
         'data/data.csv',
         f'gs://{self._BUCKET_NAME}/{self._DATA_DIRECTORY_NAME}/'
-        + f'{self._pipeline_name}/data.csv')
+        f'{self._pipeline_name}/data.csv')
 
   @retry.retry(ignore_eventual_failure=True)
   def _delete_pipeline_data(self):
diff --git a/tfx/types/artifact.py b/tfx/types/artifact.py
index df626d231f..40fedfdd7f 100644
--- a/tfx/types/artifact.py
+++ b/tfx/types/artifact.py
@@ -247,7 +247,7 @@ def _get_artifact_type(cls):
       if type_annotation_cls:
         if not issubclass(type_annotation_cls, SystemArtifact):
           raise ValueError(
-              '%s''s TYPE_ANNOTATION %s is not a subclass of SystemArtifact.' %
+              '%ss TYPE_ANNOTATION %s is not a subclass of SystemArtifact.' %
               (cls, type_annotation_cls))
         if type_annotation_cls.MLMD_SYSTEM_BASE_TYPE:
           artifact_type.base_type = type_annotation_cls.MLMD_SYSTEM_BASE_TYPE