code: def exact_match_score(prediction, ground_truth):
      """computes exact match between prediction and ground truth"""
      return int(
          normalize_answer(prediction) == normalize_answer(ground_truth)
      )
  
imports: import collections
  from typing import List
  import ijson
  import numpy
  from transformers.models.bert.tokenization_bert import BasicTokenizer
  from nemo.collections.nlp.data.data_utils import DataProcessor, check_chinese_char, normalize_answer, normalize_chinese_answer
  from nemo.utils import logging
label_desc: Use image node_id 5 for calling a global function with example usage: exact_match_score(prediction, ground_truth) and returns: int