docstr: Save predictions as a jsonl file
  
  Args:
      Each arg is a list of strings (all args have the same length)
docstr_tok: ["Save","predictions","as","a","jsonl","file","Args",":","Each","arg","is","a","list","of","strings","(","all","args","have","the","same","length",")"]
code: def save_predictions(
      filename,
      generated_labels,
      generated_slots,
      ground_truth_labels,
      ground_truth_slots,
      generated_field,
      ground_truth_field,
      inputs,
  ):
      """
      Save predictions as a jsonl file
  
      Args:
          Each arg is a list of strings (all args have the same length)
      """
      docs = []
      for i in range(len(inputs)):
          docs.append(
              {
                  "input": inputs[i],
                  "ground_truth": ground_truth_field[i],
                  "ground_truth_slots": ground_truth_slots[i],
                  "ground_truth_labels": ground_truth_labels[i],
                  "generated": generated_field[i],
                  "generated_slots": generated_slots[i],
                  "generated_labels": generated_labels[i],
              }
          )
      with open(filename, "w", encoding="UTF-8") as f:
          for item in docs:
              f.write(json.dumps(item) + "\n")
  
file_path: NeMo/nemo/collections/nlp/metrics/dialogue_metrics.py
imports: import json
  from collections import Counter
  import numpy
  from sacrebleu import corpus_bleu
label_desc: Use image node_id 1 for calling the DialogueClassificationMetrics obj's underlying member method code with example usage: obj.save_predictions(filename, generated_labels, generated_slots, ground_truth_labels, ground_truth_slots, generated_field, ground_truth_field, inputs) without return types