luka / src /output_extract.py
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import json
import os
from datasets import load_dataset
from math_verify import parse
import tqdm
import argparse
def extra_revise(response:str):
# 提取response中的Critique和Revised Answer
if "Revised Answer" in response:
revised_answer = response.split("Revised Answer")[1].strip()
else:
revised_answer = response
return revised_answer
def content_parse(data):
return data["response"]["body"]["choices"][0]["message"]["content"]
def extract_from_dir(dir_path, dataset="mathhard", extra_re=False):
if dataset == "mathhard":
ds = load_dataset("lighteval/MATH-Hard", "default")["test"]
elif dataset == "mathhard_train":
ds = load_dataset("lighteval/MATH-Hard", "default")["train"]
elif dataset == "aime24":
ds = load_dataset("math-ai/aime24")["test"]
else:
raise ValueError(f"Dataset {dataset} is not supported yet.")
idx_map = {}
for file in os.listdir(dir_path):
if file.startswith("output_"):
with open(os.path.join(dir_path, file), "r") as f:
for idx,line in enumerate(f):
data = json.loads(line)
problem = ds[idx]["problem"]
solution = ds[idx]["solution"]
solution_ = "$" + solution + "$"
answer = str(parse(solution_))
if idx not in idx_map:
idx_map[idx] = {
"problem": problem,
"solution": solution,
"answer": answer,
"outputs": []
}
if extra_re:
idx_map[idx]["outputs"].append(extra_revise(content_parse(data)))
else:
idx_map[idx]["outputs"].append(content_parse(data))
# 写入合并后的 jsonl 文件
output_file = os.path.join(dir_path, "parallel_merged_output.jsonl")
with open(output_file, "w") as fout:
for item in idx_map.values():
fout.write(json.dumps(item, ensure_ascii=False) + "\n")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input_dir", type=str, required=True)
parser.add_argument("--extra_re",action="store_true")
parser.add_argument("--dataset", type=str, required=True)
args = parser.parse_args()
extract_from_dir(args.input_dir, args.dataset, args.extra_re)