code: def clean_english_str(string):
      """
      Tokenization/string cleaning for all datasets except for SST.
      Original taken from
      https://github.com/yoonkim/CNN_sentence/blob/master/process_data.py
      """
      # pylint: disable=anomalous-backslash-in-string
      string = re.sub(r"[^A-Za-z0-9(),!?\'\`]", " ", string)
      string = re.sub(r"\'s", " 's", string)
      string = re.sub(r"\'ve", " 've", string)
      string = re.sub(r"n\'t", " n't", string)
      string = re.sub(r"\'re", " 're", string)
      string = re.sub(r"\'d", " 'd", string)
      string = re.sub(r"\'ll", " 'll", string)
      string = re.sub(r",", " , ", string)
      string = re.sub(r"!", " ! ", string)
      string = re.sub(r"\(", " \( ", string)
      string = re.sub(r"\)", " \) ", string)
      string = re.sub(r"\?", " \? ", string)
      string = re.sub(r"\s{2,}", " ", string)
      return string.strip().lower()
  
file_path: delta/delta/data/utils/common_utils.py
imports: import re
  import json
  import numpy
  from absl import logging
  import delta.compat
  import subprocess
  from delta import utils
label_desc: Use image node_id 2 for calling a global function with example usage: clean_english_str(string) and returns: string