evaluation/benchmarks/gaia/scorer.py

import re
import string
import warnings


def normalize_number_str(number_str: str) -> float:
    # we replace these common units and commas to allow
    # conversion to float
    for char in ['$', '%', ',']:
        number_str = number_str.replace(char, '')
    try:
        return float(number_str)
    except ValueError:
        print(f'String {number_str} cannot be normalized to number str.')
        return float('inf')


def split_string(
    s: str,
    char_list: list[str] = None,
) -> list[str]:
    if char_list is None:
        char_list = [',', ';']
    pattern = f'[{"".join(char_list)}]'
    return re.split(pattern, s)


def question_scorer(
    model_answer: str,
    ground_truth: str,
) -> bool:
    def is_float(element: any) -> bool:
        try:
            float(element)
            return True
        except ValueError:
            return False

    # if gt is a number
    if is_float(ground_truth):
        print(f'Evaluating {model_answer} as a number.')
        normalized_answer = normalize_number_str(model_answer)
        return normalized_answer == float(ground_truth)

    # if gt is a list
    elif any(char in ground_truth for char in [',', ';']):
        print(f'Evaluating {model_answer} as a comma separated list.')
        # question with the fish: normalization removes punct

        gt_elems = split_string(ground_truth)
        ma_elems = split_string(model_answer)

        # check length is the same
        if len(gt_elems) != len(ma_elems):
            warnings.warn(
                'Answer lists have different lengths, returning False.',
                UserWarning,
                stacklevel=2,
            )
            return False

        # compare each element as float or str
        comparisons = []
        for ma_elem, gt_elem in zip(ma_elems, gt_elems):
            if is_float(gt_elem):
                normalized_ma_elem = normalize_number_str(ma_elem)
                comparisons.append(normalized_ma_elem == float(gt_elem))
            else:
                # we do not remove punct since comparisons can include punct
                comparisons.append(
                    normalize_str(ma_elem, remove_punct=False)
                    == normalize_str(gt_elem, remove_punct=False)
                )
        return all(comparisons)

    # if gt is a str
    else:
        print(f'Evaluating {model_answer} as a string.')
        return normalize_str(model_answer) == normalize_str(ground_truth)


def normalize_str(input_str, remove_punct=True) -> str:
    """Normalize a string by:
    - Removing all white spaces
    - Optionally removing punctuation (if remove_punct is True)
    - Converting to lowercase
    Parameters:
    - input_str: str, the string to normalize
    - remove_punct: bool, whether to remove punctuation (default: True)

    Returns:
    - str, the normalized string
    """
    # Remove all white spaces. Required e.g for seagull vs. sea gull
    no_spaces = re.sub(r'\s', '', input_str)

    # Remove punctuation, if specified.
    if remove_punct:
        translator = str.maketrans('', '', string.punctuation)
        return no_spaces.lower().translate(translator)
    else:
        return no_spaces.lower()