def get_fill_blank_prediction()

in lmms_eval/tasks/cmmmu/utils.py [0:0]

• 34 lines of code
• 7 McCabe index (conditional complexity)

def get_fill_blank_prediction(response, answer):
    """get the prediction from the generated response,
    return a list of predicted strings or numbers"""

    def get_key_subresponses(response):
        key_responses = []
        response = response.strip("。").strip()
        sub_responses = re.split(r"。|\n", response)
        indicators_of_keys = ["是", "为", "所以", "等于", "方案", "选择", "正确答案", "因此", "最后", "答案", "结果"]
        key_responses = []
        for index, resp in enumerate(sub_responses):
            # if last one, accept it's an equation (the entire response can be just one sentence with equation)
            if index == len(sub_responses) - 1:
                indicators_of_keys.extend(["="])
            shortest_key_response = None  # the shortest response that may contain the answer (tail part of the response)
            for indicator in indicators_of_keys:
                if indicator in resp:
                    if not shortest_key_response:
                        shortest_key_response = resp.split(indicator)[-1].strip()
                    else:
                        if len(resp.split(indicator)[-1].strip()) < len(shortest_key_response):
                            shortest_key_response = resp.split(indicator)[-1].strip()

            if shortest_key_response:
                # and it's not trivial
                if shortest_key_response.strip() not in [":", ",", ".", "!", "?", ";", ":", "'"]:
                    key_responses.append(shortest_key_response)
        if len(key_responses) == 0:  # did not found any
            return [response]
        return key_responses

    key_responses = get_key_subresponses(response)

    pred_list = key_responses.copy()  # keep the original string response
    for resp in key_responses:
        pred_list.extend(extract_numbers(resp))

    tmp_pred_list = []
    for i in range(len(pred_list)):
        tmp_pred_list.extend(normalize_str(pred_list[i], answer))
    pred_list = tmp_pred_list

    # remove duplicates
    pred_list = list(set(pred_list))

    return pred_list