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)