code: def download_other_dataset(name):
      if name in ["custrev", "mpqa", "rt-polarity", "subj"]:
          files = [name + ".all"]
      elif name == "TREC":
          files = [name + suff for suff in [".train.all", ".test.all"]]
      else:
          files = [name + suff for suff in [".train", ".test"]]
      file_paths = []
      for f_name in files:
          url = os.path.join(URL_OTHER_BASE, f_name)
          path = chainer.dataset.cached_download(url)
          file_paths.append(path)
      return file_paths
  
imports: import csv
  import glob
  import io
  import os
  import shutil
  import sys
  import tarfile
  import tempfile
  import numpy
  import chainer
  from nlp_utils import make_vocab
  from nlp_utils import normalize_text
  from nlp_utils import split_text
  from nlp_utils import transform_to_array
label_desc: Use image node_id 7 for calling a global function with example usage: download_other_dataset(name) and returns: file_paths