diff --git a/github_issue_summarization/pipelines/components/t2t/t2t-proc/datagen.py b/github_issue_summarization/pipelines/components/t2t/t2t-proc/datagen.py
new file mode 100644
index 00000000..74e8c394
--- /dev/null
+++ b/github_issue_summarization/pipelines/components/t2t/t2t-proc/datagen.py
@@ -0,0 +1,85 @@
+# Copyright 2018 Google Inc. All Rights Reserved.
+#
+# 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
+#
+#     https://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 argparse
+import glob
+import os
+import re
+import subprocess
+from urlparse import urlparse
+
+from google.cloud import storage
+
+
+def copy_local_directory_to_gcs(project, local_path, bucket_name, gcs_path):
+  """Recursively copy a directory of files to GCS.
+
+  local_path should be a directory and not have a trailing slash.
+  """
+  assert os.path.isdir(local_path)
+  for local_file in glob.glob(local_path + '/**'):
+    if not os.path.isfile(local_file):
+      continue
+    remote_path = os.path.join(gcs_path, local_file[1 + len(local_path) :])
+    storage_client = storage.Client(project=project)
+    bucket = storage_client.get_bucket(bucket_name)
+    blob = bucket.blob(remote_path)
+    blob.upload_from_filename(local_file)
+
+def main():
+  parser = argparse.ArgumentParser(description='ML Trainer')
+  parser.add_argument(
+      '--data-dir',
+      help='...',
+      required=True)
+  parser.add_argument(
+      '--project',
+      help='...',
+      required=True)
+
+  args = parser.parse_args()
+
+  problem = 'gh_problem'
+  remote_data_dir = args.data_dir
+  local_data_dir = '/ml/t2t_gh_data'
+  local_source_data_file = '/ml/gh_data/github_issues.csv'
+
+  data_copy_command1 = ['gsutil', 'cp',
+      'gs://aju-dev-demos-codelabs/kubecon/gh_data/github_issues.csv',
+      local_source_data_file
+      ]
+  print(data_copy_command1)
+  result = subprocess.call(data_copy_command1)
+  print(result)
+
+  datagen_command = ['t2t-datagen', '--data_dir', local_data_dir, '--t2t_usr_dir',
+      '/ml/ghsumm/trainer',
+      '--problem', problem,
+      '--tmp_dir', local_data_dir + '/tmp'
+      ]
+  print(datagen_command)
+  result1 = subprocess.call(datagen_command)
+  print(result1)
+
+  print("copying processed input to %s" % remote_data_dir)
+  o = urlparse(remote_data_dir)
+  path = re.sub('^/', '', o.path)
+  print("using bucket: %s and path: %s" % (o.netloc, path))
+  copy_local_directory_to_gcs(args.project, local_data_dir, o.netloc, path)
+
+
+if __name__ == "__main__":
+  main()
diff --git a/github_issue_summarization/pipelines/example_pipelines/pipelines-kubecon.ipynb b/github_issue_summarization/pipelines/example_pipelines/pipelines-kubecon.ipynb
index 7d6d8709..86bae535 100644
--- a/github_issue_summarization/pipelines/example_pipelines/pipelines-kubecon.ipynb
+++ b/github_issue_summarization/pipelines/example_pipelines/pipelines-kubecon.ipynb
@@ -75,7 +75,7 @@
    "outputs": [],
    "source": [
     "# Note that this notebook should be running in JupyterHub in the same cluster as the pipeline system.\n",
-    "# Otherwise it will fail to talk to the pipeline system.\n",
+    "# Otherwise, additional config would be required to connect.\n",
     "client = kfp.Client()\n",
     "client.list_experiments()"
    ]