code: def rotten_tomatoes():
      """
      Contains information from kaggle [1], which is made available here under the Open Database License (ODbL) [2].
  
      Download "rotten_tomatoes" [1] data set.
  
      Will return two pandas.DataFrame-s, first with train part (rotten_tomatoes.data) and second with test part
      (rotten_tomatoes.test) of the dataset.
  
      NOTE: This is a preprocessed version of the dataset.
  
      [1]: https://www.kaggle.com/rpnuser8182/rotten-tomatoes
      [2]: https://opendatacommons.org/licenses/odbl/1-0/index.html
      """
      url = "https://catboost-opensource.s3.yandex.net/rotten_tomatoes.tar.gz"
      md5 = "a07fed612805ac9e17ced0d82a96add4"
      dataset_name, train_file, test_file = (
          "rotten_tomatoes",
          "learn.tsv",
          "test.tsv",
      )
      return _load_dataset_pd(
          url, md5, dataset_name, train_file, test_file, sep="\t"
      )
  
imports: import hashlib
  import logging
  import numpy
  import os
  import pandas
  import tarfile
  import tempfile
  import six
  import shutil
  from .core import PATH_TYPES, fspath
label_desc: Use image node_id 14 for calling a global function with example usage: rotten_tomatoes() and returns: _load_dataset_pd