code: def convert_ren(paths, dataset_name, *args):
      in_directory = os.path.join(
          paths["SENTIMENT_BASE"], "chinese", "RenCECps"
      )
      out_directory = paths["SENTIMENT_DATA_DIR"]
      process_ren_chinese.main(
          in_directory, out_directory, dataset_name
      )
  
imports: import os
  import random
  import sys
  import stanza.utils.default_paths
  from stanza.utils.datasets.sentiment import process_airline
  from stanza.utils.datasets.sentiment import process_arguana_xml
  from stanza.utils.datasets.sentiment import process_corona
  from stanza.utils.datasets.sentiment import process_es_tass2020
  from stanza.utils.datasets.sentiment import process_it_sentipolc16
  from stanza.utils.datasets.sentiment import process_MELD
  from stanza.utils.datasets.sentiment import process_ren_chinese
  from stanza.utils.datasets.sentiment import process_sb10k
  from stanza.utils.datasets.sentiment import process_scare
  from stanza.utils.datasets.sentiment import process_slsd
  from stanza.utils.datasets.sentiment import process_sst
  from stanza.utils.datasets.sentiment import process_usage_german
  from stanza.utils.datasets.sentiment import process_vsfc_vietnamese
  from stanza.utils.datasets.sentiment import process_utils
label_desc: Use image node_id 15 for calling a global function with example usage: convert_ren(paths, dataset_name) without return types