code: def ids2text(ids, vocab):
      """
      Map list of ids of words in utterance to utterance
      """
      return " ".join([vocab[int(id_)] for id_ in ids])
  
file_path: NeMo/scripts/dataset_processing/nlp/intent_and_slot/import_datasets.py
imports: import argparse
  import os
  import shutil
  from os.path import exists
  from assistant_utils import process_assistant
  from nemo.collections.nlp.data.data_utils.data_preprocessing import DATABASE_EXISTS_TMP, MODE_EXISTS_TMP, create_dataset, get_dataset, get_vocab, if_exist
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: ids2text(ids, vocab) and returns: str