code: def annotated_token_classification_text(
      token_text, iob_annotations
  ) -> List[str]:
      """Annotate a token classification dataset with IOB tags."""
      annotated_samples = []
      for sample, iob_sample in zip(token_text, iob_annotations):
          annotated_samples.append(
              " ".join(
                  [
                      f"<b>{word}</b>" if iob != "O" else word
                      for word, iob in zip(sample, iob_sample)
                  ]
              )
          )
      return annotated_samples
  
imports: from collections import Counter
  from typing import Dict, List
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: annotated_token_classification_text(token_text, iob_annotations) and returns: annotated_samples