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