code: def get_tokenized_phrases(split, in_directory):
      """
      split in train,dev,test
      """
      in_filename = os.path.join(
          in_directory, "%s_sent_emo.csv" % split
      )
      phrases = get_phrases(in_filename)
  
      phrases = process_utils.get_ptb_tokenized_phrases(phrases)
      print("Found {} phrases in MELD {}".format(len(phrases), split))
      return phrases
  
imports: import csv
  import os
  import sys
  from stanza.models.classifiers.data import SentimentDatum
  import stanza.utils.datasets.sentiment.process_utils
label_desc: Use image node_id 2 for calling a global function with example usage: get_tokenized_phrases(split, in_directory) and returns: phrases