code: def tokenized_text(self):
      if self.mode == "gen":
          return [text.tokenized_text for text in self.corpus]
      else:
          return [
              [text.tokenized_text for text in texts]
              for texts in self.corpus
          ]
  
file_path: TextBox/textbox/evaluator/base_evaluator.py
imports: from nltk.tokenize import word_tokenize
label_desc: Use image node_id 3 for calling the Corpus obj's underlying member method code with example usage: obj.tokenized_text() and returns: unknown, unknown