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def compute_exact(a_gold, a_pred): return int(normalize_answer(a_gold) == normalize_answer(a_pred)) def compute_f1(a_gold, a_pred): gold_toks = get_tokens(a_gold) pred_toks = get_tokens(a_pred) common = collections.Counter(gold_toks) & collections.Counter(pred_toks) num_same = sum(common.values()) if len(gold_toks) == 0 or len(pred_toks) == 0: # If either is no-answer, then F1 is 1 if they agree, 0 otherwise return int(gold_toks == pred_toks) if num_same == 0: return 0 precision = 1.0 * num_same / len(pred_toks) recall = 1.0 * num_same / len(gold_toks) f1 = (2 * precision * recall) / (precision + recall) return f1