code: def clean_up_highlights(line):
      if line.startswith("NEW: "):
          return line.split("NEW: ")[1].strip()
      bad_prefixes = ["READ: ", "for all the latest "]
      for prefix in bad_prefixes:
          if line.startswith(prefix):
              return ""
      # these are bad even if they appear mid-highlight
      bad_after = [
          "CLICK HERE ",
          "Click HERE ",
          "Click here ",
          "For confidential support call the Samaritans in the UK",
      ]
      for bad in bad_after:
          if bad in line:
              line = line.split(bad)[0].strip()
      return line
  
file_path: summarize-from-feedback/summarize_from_feedback/datasets/cnndm.py
imports: import hashlib
  import json
  import os
  import re
  import ftfy
  from summarize_from_feedback.utils import blobs
label_desc: Use image node_id 2 for calling a global function with example usage: clean_up_highlights(line) and returns: line, line, str