code: def dump_nbest_predictions_to_file(
      output_filename, examples, nbest_predictions, keys_to_dump=[]
  ):
      logging.info(f"Writing nbest predictions to {output_filename}")
  
      with open(output_filename, "w") as writer:
          for ex in tqdm(examples):
              output_item = {
                  "id": ex.qas_id,
                  "context": ex.context_text,
                  "question": ex.question_text,
                  "nbest_predictions": [],
              }
              for pred in nbest_predictions[ex.qas_id]:
                  output_item["nbest_predictions"].append(
                      {key: pred[key] for key in keys_to_dump}
                  )
  
              writer.write(json.dumps(output_item) + "\n")
  
imports: import collections
  import json
  import re
  import string
  import torch
  from tqdm import tqdm
  from nemo.collections.nlp.parts.utils_funcs import tensor2list
  from nemo.utils import logging
label_desc: Use image node_id 14 for calling the QAMetrics obj's underlying member method code with example usage: obj.dump_nbest_predictions_to_file(output_filename, examples, nbest_predictions, keys_to_dump) without return types