code: def _get_raw_movielens_data():
      """
      Return the raw lines of the train and test files.
      """
  
      path = _get_movielens_path()
  
      if not os.path.isfile(path):
          _download_movielens(path)
  
      with zipfile.ZipFile(path) as datafile:
          return (
              datafile.read("ml-100k/ua.base").decode().split("\n"),
              datafile.read("ml-100k/ua.test").decode().split("\n"),
          )
  
file_path: lightfm/examples/movielens/data.py
imports: import itertools
  import os
  import zipfile
  import numpy
  import requests
  import scipy.sparse
label_desc: Use image node_id 3 for calling a global function with example usage: _get_raw_movielens_data() and returns: datafile,  datafile