code: def convert_dataset_section(section):
      sentences = []
      for item in section:
          words = item["tokens"]
          tags = [ID_TO_TAG[x] for x in item["ner_tags"]]
          sentences.append(list(zip(words, tags)))
      return sentences
  
imports: import os
  from stanza.utils.default_paths import get_default_paths
  from stanza.utils.datasets.ner.utils import write_dataset
label_desc: Use image node_id 1 for calling a global function with example usage: convert_dataset_section(section) and returns: sentences