code: def convert_version(dataset, treebank_file, input_dir, output_dir):
      """
      Convert the fiveclass files to a specific format
  
      Uses the ARGUMENTS specific for the format wanted
      """
      phrases = get_phrases(dataset, treebank_file, input_dir)
      output_file = os.path.join(
          output_dir,
          "en_sst.%s.%s.json" % (dataset, treebank_file.split(".")[0]),
      )
      process_utils.write_list(output_file, phrases)
  
file_path: stanza/stanza/utils/datasets/sentiment/process_sst.py
imports: import argparse
  import os
  import subprocess
  from stanza.models.classifiers.data import SentimentDatum
  import stanza.utils.datasets.sentiment.process_utils
  import stanza.utils.default_paths
label_desc: Use image node_id 3 for calling a global function with example usage: convert_version(dataset, treebank_file, input_dir, output_dir) without return types