code: def convert_mr_l3cube(paths, dataset_name, *args):
      # csv_filename = 'extern_data/sentiment/MarathiNLP/L3CubeMahaSent Dataset/tweets-train.csv'
      MAPPING = {"-1": "0", "0": "1", "1": "2"}
  
      out_directory = paths["SENTIMENT_DATA_DIR"]
      os.makedirs(out_directory, exist_ok=True)
  
      in_directory = os.path.join(
          paths["SENTIMENT_BASE"],
          "MarathiNLP",
          "L3CubeMahaSent Dataset",
      )
      input_files = [
          "tweets-train.csv",
          "tweets-valid.csv",
          "tweets-test.csv",
      ]
      input_files = [os.path.join(in_directory, x) for x in input_files]
      datasets = [
          process_utils.read_snippets(
              csv_filename,
              sentiment_column=1,
              text_column=0,
              tokenizer_language="mr",
              mapping=MAPPING,
              delimiter=",",
              quotechar='"',
              skip_first_line=True,
          )
          for csv_filename in input_files
      ]
  
      process_utils.write_dataset(datasets, 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 12 for calling a global function with example usage: convert_mr_l3cube(paths, dataset_name) without return types