code: def _download_mlu_data(tmp_dir, data_dir):
    
    if not tf.gfile.Exists(data_dir):
      tf.gfile.MakeDirs(data_dir)
  
    filename = os.path.basename(_URL)
    file_path = os.path.join(tmp_dir, filename)
    headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) "
                             "AppleWebKit/537.36 (KHTML, like Gecko) "
                             "Chrome/63.0.3239.132 Safari/537.36"}
    resp = requests.get(_URL, headers=headers)
    with open(file_path, "wb") as f:
      f.write(resp.content)
  
    with tarfile.open(file_path, "r:gz") as tar:
      tar.extractall(tmp_dir)
  
    return tmp_dir
docs: Downloads and extracts the dataset.
  
    Args:
      tmp_dir: temp directory to download and extract the dataset
      data_dir: The base directory where data and vocab files are stored.
  
    Returns:
      tmp_dir: temp directory containing the raw data.