code: def filter_broken_tags(train_sentences):
      """
      Eliminate any sentences where any of the tags were empty
      """
      return [
          x for x in train_sentences if not any(y[1] is None for y in x)
      ]
  
file_path: stanza/stanza/utils/datasets/ner/convert_bn_daffodil.py
imports: import argparse
  import os
  import random
  import tempfile
  from stanza.utils.datasets.ner.utils import read_tsv, write_dataset
label_desc: Use image node_id 4 for calling a global function with example usage: filter_broken_tags(train_sentences) and returns: unknown