code: def _read_dataframes(path):
      import pandas
  
      ratings = pandas.read_csv(
          os.path.join(path, "ratings.dat"),
          delimiter="::",
          names=["userId", "movieId", "rating", "timestamp"],
      )
  
      movies = pandas.read_table(
          os.path.join(path, "movies.dat"),
          delimiter="::",
          names=["movieId", "title", "genres"],
      )
      return ratings, movies
  
file_path: implicit/implicit/datasets/movielens.py
imports: import logging
  import os
  import h5py
  import numpy
  from scipy.sparse import coo_matrix, csr_matrix
  from implicit.datasets import _download
label_desc: Use image node_id 5 for calling a global function with example usage: _read_dataframes(path) and returns: ratings,  movies