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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
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