wehub-resource-sync
59 lines
1.4 KiB
Python
59 lines
1.4 KiB
Python
import argparse
|
|
import copy
|
|
import json
|
|
import re
|
|
|
|
from datasets import load_dataset
|
|
|
|
|
|
def mbpp_prediction_eval_judge(prediction):
|
|
if "### The program is" not in prediction:
|
|
return None
|
|
|
|
pattern = r"correct|incorrect"
|
|
regrex = re.compile(pattern)
|
|
|
|
preds = re.findall(regrex, prediction.split("### The program is")[1])
|
|
if len(preds) == 0 or len(preds) > 1:
|
|
return None
|
|
|
|
if preds[0] == "correct":
|
|
return True
|
|
return False
|
|
|
|
|
|
def mbpp_judge(file_path):
|
|
data = [json.loads(line) for line in open(file_path, "r", encoding="utf8").readlines()]
|
|
|
|
missing = 0
|
|
correct = 0
|
|
true_samples = 0
|
|
false_samples = 0
|
|
for item in data:
|
|
# passed = prompt2passed[item["orig_prompt"]]
|
|
passed = item["passed"]
|
|
|
|
res = mbpp_prediction_eval_judge(item["completion"])
|
|
if res is None:
|
|
missing += 1
|
|
continue
|
|
if res == passed:
|
|
correct += 1
|
|
|
|
print(f"Correct: {correct}, Missing: {missing}, Total: {len(data)}")
|
|
print(f"Accuracy: {correct / len(data)}")
|
|
print(f"Missing rate: {missing / len(data)}")
|
|
print(f"True samples: {true_samples}, False samples: {false_samples}")
|
|
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser(description='Completion Judge')
|
|
parser.add_argument("--prediction_file", type=str, required=True)
|
|
args = parser.parse_args()
|
|
|
|
mbpp_judge(args.prediction_file)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|