new_contents: #
  # Copyright 2016 The BigDL Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  import os
  
  import zipfile
  import numpy as np
  
  from bigdl.dataset import base
  
  SOURCE_URL = 'http://files.grouplens.org/datasets/movielens/'
  
  def read_data_sets(data_dir):
      """
      Parse or download movielens 1m  data if train_dir is empty.
  
      :param data_dir: The directory storing the movielens data
      :return: a 2D numpy array with user index and item index in each row 
      """
  
      WHOLE_DATA = 'ml-1m.zip'
      local_file = base.maybe_download(WHOLE_DATA, data_dir, SOURCE_URL + WHOLE_DATA)
      zip_ref = zipfile.ZipFile(local_file, 'r')
      extracted_to = os.path.join(data_dir, "ml-1m")
      if not os.path.exists(extracted_to):
          print("Extracting %s to %s" % (local_file, data_dir))
          zip_ref.extractall(data_dir)
          zip_ref.close()
      rating_files = os.path.join(extracted_to,"ratings.dat")
      rating_list = [i.strip().split("::")[:2] for i in open(rating_files,"r").readlines()]    
      movielens_data = np.array(rating_list).astype(int)
      return movielens_data 
  
  if __name__ == "__main__":
      movielens_data = read_data_sets("/tmp/movielens/")
  
subject: add movielens (#1027)