code: def build_combined_english_gum(
      udbase_dir, tokenizer_dir, short_name, augment
  ):
      for dataset in ("train", "dev", "test"):
          build_combined_english_gum_dataset(
              udbase_dir, tokenizer_dir, short_name, dataset, augment
          )
  
imports: import argparse
  import glob
  import os
  import random
  import re
  import tempfile
  from collections import Counter
  from stanza.models.common.constant import treebank_to_short_name
  import stanza.utils.datasets.common
  from stanza.utils.datasets.common import read_sentences_from_conllu, write_sentences_to_conllu, INT_RE, MWT_RE, MWT_OR_COPY_RE
  import stanza.utils.datasets.tokenization.convert_ml_cochin
  import stanza.utils.datasets.tokenization.convert_my_alt
  import stanza.utils.datasets.tokenization.convert_vi_vlsp
  import stanza.utils.datasets.tokenization.convert_th_best
  import stanza.utils.datasets.tokenization.convert_th_lst20
  import stanza.utils.datasets.tokenization.convert_th_orchid
label_desc: Use image node_id 36 for calling a global function with example usage: build_combined_english_gum(udbase_dir, tokenizer_dir, short_name, augment) without return types