code: def _contains_blinded_text(stats_xml):
      
      tree = ET.parse(stats_xml)
      root = tree.getroot()
      total_tokens = int(root.find('size/total/tokens').text)
      unique_lemmas = int(root.find('lemmas').get('unique'))
  
      # assume the corpus is largely blinded when there are less than 1% unique tokens
      return (unique_lemmas / total_tokens) < 0.01
docs: Heuristic to determine whether the treebank has blinded texts or not