metrics.py

# Code for metrics comes from beam_retriever/blob/main/gpt_turbo_exp.py

import re
import string
import collections

def normalize_answer(s):

    def remove_articles(text):
        return re.sub(r'\b(a|an|the)\b', ' ', text)

    def white_space_fix(text):
        return ' '.join(text.split())

    def remove_punc(text):
        exclude = set(string.punctuation)
        return ''.join(ch for ch in text if ch not in exclude)

    def lower(text):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(s))))

def get_tokens(s):
    if not s:
        return []
    return normalize_answer(s).split()

def compute_exact(a_gold, a_pred):
    return int(normalize_answer(a_gold) == normalize_answer(a_pred))

def compute_subem(a_gold, a_pred):
    return int(normalize_answer(a_gold) in 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

# metrics for attribution

def compute_attr_metrics(response, ground_truth):
    attr_matches = re.findall(r'\[(\d+)\]', response)
    attr_predicted = [int(match) for match in attr_matches]
    
    predicted_set = set(attr_predicted)
    ground_truth_set = set(ground_truth)

    true_positives = len(predicted_set & ground_truth_set)
    precision = true_positives / len(predicted_set) if predicted_set else 0
    recall = true_positives / len(ground_truth_set) if ground_truth_set else 0
    f1 = (2 * precision * recall) / (precision + recall) if (precision + recall) > 0 else 0

    return precision, recall, f1