code: def _train_data_filenames(tmp_dir):
      return [
          os.path.join(
              tmp_dir,
              "1-billion-word-language-modeling-benchmark-r13output",
              "training-monolingual.tokenized.shuffled",
              "news.en-%05d-of-00100" % i,
          )
          for i in range(1, 100)
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import tarfile
  from six.moves import range
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: _train_data_filenames(tmp_dir) and returns: unknown