code: def _clean_sentences(sentence_pairs):
      res_pairs = []
      for cleaned in cleaner_en_xx.clean_en_xx_pairs(sentence_pairs):
          res_pairs.append(cleaned)
      return res_pairs
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gzip
  import os
  import tarfile
  import zipfile
  from tensor2tensor.data_generators import cleaner_en_xx
  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 bleu_hook
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import mlperf_log
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: _clean_sentences(sentence_pairs) and returns: res_pairs