code: def clean_text(text, mapping_pair_path):
      text = text.strip()
      text = text.lower()
      text = text.replace("’", "'")
      text = text.replace("‘", "'")
      text = text.replace(";", ",")
      text = text.replace('"', " ")
      text = text.replace("/", " and ")
      text = text.replace("don't", "do n't")
      text = clean_time(text)
      baddata = {
          r"c\.b (\d), (\d) ([a-z])\.([a-z])": r"cb\1\2\3\4",
          "c.b. 1 7 d.y": "cb17dy",
          "c.b.1 7 d.y": "cb17dy",
          "c.b 25, 9 a.q": "cb259aq",
          "isc.b 25, 9 a.q": "is cb259aq",
          "c.b2, 1 u.f": "cb21uf",
          "c.b 1,2 q.a": "cb12qa",
          "0-122-336-5664": "01223365664",
          "postcodecb21rs": "postcode cb21rs",
          r"i\.d": "id",
          " i d ": "id",
          "Telephone:01223358966": "Telephone: 01223358966",
          "depature": "departure",
          "depearting": "departing",
          "-type": " type",
          r"b[\s]?&[\s]?b": "bed and breakfast",
          "b and b": "bed and breakfast",
          r"guesthouse[s]?": "guest house",
          r"swimmingpool[s]?": "swimming pool",
          "wo n't": "will not",
          " 'd ": " would ",
          " 'm ": " am ",
          " 're' ": " are ",
          " 'll' ": " will ",
          " 've ": " have ",
          r"^\'": "",
          r"\'$": "",
      }
      for tmpl, good in baddata.items():
          text = re.sub(tmpl, good, text)
  
      text = re.sub(
          r"([a-zT]+)\.([a-z])", r"\1 . \2", text
      )  # 'abc.xyz' -> 'abc . xyz'
      text = re.sub(
          r"(\w+)\.\.? ", r"\1 . ", text
      )  # if 'abc. ' -> 'abc . '
  
      # mapping_path = r'../data/multiwoz/data/multi-woz/mapping.pair'
      with open(mapping_pair_path, "r") as fin:
          for line in fin.readlines():
              fromx, tox = line.replace("\n", "").split("\t")
              text = " " + text + " "
              text = text.replace(" " + fromx + " ", " " + tox + " ")[
                  1:-1
              ]
      return text
  
imports: import re
  from .None import ontology
label_desc: Use image node_id 2 for calling a global function with example usage: clean_text(text, mapping_pair_path) and returns: text