def get_training_dataset(self, tmp_dir):
    """UN Parallel Corpus and CWMT Corpus need to be downloaded manually.

    Append to training dataset if available

    Args:
      tmp_dir: path to temporary dir with the data in it.

    Returns:
      paths
    """
    full_dataset = _NC_TRAIN_DATASETS
    for dataset in [_CWMT_TRAIN_DATASETS, _UN_TRAIN_DATASETS]:
      filename = get_filename(dataset)
      tmp_filepath = os.path.join(tmp_dir, filename)
      if tf.gfile.Exists(tmp_filepath):
        full_dataset += dataset
      else:
        tf.logging.info("[TranslateEzhWmt] dataset incomplete, you need to "
                        "manually download %s" % filename)
    return full_dataset
UN Parallel Corpus and CWMT Corpus need to be downloaded manually.

    Append to training dataset if available

    Args:
      tmp_dir: path to temporary dir with the data in it.

    Returns:
      paths
    
tensor2tensor/data_generators/translate_enzh.py