code: def write_segmenter_file(output_filename, dataset):
      with open(output_filename, "w") as fout:
          for sentence in dataset:
              sentence = [x for x in sentence if not x.startswith("#")]
              sentence = [x for x in [y.strip() for y in sentence] if x]
              # eliminate MWE, although Chinese currently doesn't have any
              sentence = [
                  x for x in sentence if x.split("\t")[0].find("-") < 0
              ]
  
              text = " ".join(x.split("\t")[1] for x in sentence)
              fout.write(text)
              fout.write("\n")
  
file_path: stanza/stanza/utils/datasets/corenlp_segmenter_dataset.py
imports: import argparse
  import os
  import sys
  import tempfile
  import stanza.utils.datasets.common
  import stanza.utils.datasets.prepare_tokenizer_treebank
  import stanza.utils.default_paths
  from stanza.models.common.constant import treebank_to_short_name
label_desc: Use image node_id 2 for calling a global function with example usage: write_segmenter_file(output_filename, dataset) without return types