code: def _download_and_parse_dataset(tmp_dir, train):
    
    file_path = generator_utils.maybe_download(tmp_dir, _SNLI_ZIP, _SNLI_URL)
    zip_ref = zipfile.ZipFile(file_path, 'r')
    zip_ref.extractall(tmp_dir)
    zip_ref.close()
  
    file_name = 'train' if train else 'dev'
    dataset_file_path = os.path.join(tmp_dir, _SNLI_DATA_PATH % file_name)
    _parse_dataset(dataset_file_path, tmp_dir, train)
docs: Downloads and prepairs the dataset to be parsed by the data_generator.