code: def exact_match_score(prediction, ground_truth):
      return normalize_answer(prediction) == normalize_answer(
          ground_truth
      )
  
file_path: megatron-lm/tools/retro/text_generation/evaluate.py
imports: import sys
  import os
  from tqdm import tqdm
  import string
  import json
  import regex
  import numpy
  from tools.retro.text_generation.metrics import F1Metric
label_desc: Use image node_id 5 for calling a global function with example usage: exact_match_score(prediction, ground_truth) and returns: unknown