code: def normalize_text(text):
      text = text.strip()
      # Correct a misspell.
      text = text.replace("recieved", "received")
      text = text.replace("\n", " ")
      text = text.replace("  ", " ")
      return text
  
file_path: datasets/tensorflow_datasets/text/wsc273/wsc273.py
imports: from __future__ import annotations
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: normalize_text(text) and returns: text