from tensorflow.contrib.learn.python.learn.datasets import base

  train_path = os.path.join(data_dir, 'dbpedia_csv/train.csv')
  test_path = os.path.join(data_dir, 'dbpedia_csv/test.csv')
  if not (gfile.Exists(train_path) and gfile.Exists(test_path)):
    archive_path = base.maybe_download(
        'dbpedia_csv.tar.gz', data_dir, DBPEDIA_URL)
    tfile = tarfile.open(archive_path, 'r:*')
