import json import argparse def main(): parser = argparse.ArgumentParser() parser.add_argument("--file", required=True, type=str) args = parser.parse_args() input_path = args.file with open(input_path, 'r') as reader: data = json.load(reader) """ Predict label format: [{ "id": "1", "pred": "A" }] """ with open("bai-scieval-valid.json", 'r') as reader: label_data = json.load(reader) label_data = dict([(label["id"], label) for label in label_data] ) category_judge = { "biology": [0, 0, 0, 0], "chemistry": [0, 0, 0, 0], "physics": [0, 0, 0, 0] } category_num = { "biology": [0, 0, 0, 0], "chemistry": [0, 0, 0, 0], "physics": [0, 0, 0, 0] } ability_index = { "Base Knowledge": 0, "Knowledge Application": 1, "Scientific Calculation": 2, "Research Ability": 3, } index_ability = dict([(value, key) for key, value in ability_index.items()]) all_cnt = 0 for d in data: data_id = d["id"] pred = d["pred"] answer = label_data[data_id]["answer"][0] question_type = label_data[data_id]["type"] question_category = label_data[data_id]["category"] ability = label_data[data_id]["ability"] category_num[question_category][ability_index[ability]] += 1 if question_type == "multiple-choice": if answer.lower() == pred[0].lower(): category_judge[question_category][ability_index[ability]] += 1 all_cnt += 1 elif question_type == "judge": if answer.lower() in pred.lower(): category_judge[question_category][ability_index[ability]] += 1 all_cnt += 1 elif question_type == "filling": if answer.lower() in pred.lower(): category_judge[question_category][ability_index[ability]] += 1 all_cnt += 1 else: raise ValueError results = {} for category in category_judge.keys(): # print(f"==== {category} ====") results[category] = {} category_j = category_judge[category] category_n = category_num[category] for i in range(len(category_j)): if category_n[i] == 0: continue results[category][index_ability[i]] = category_j[i] / category_n[i] print(index_ability[i], category_j[i] / category_n[i]) results[category]["all"] = sum(category_j)/sum(category_n) results["all"] = all_cnt / len(data) return results