| import json |
| import os |
| from datasets import load_dataset |
| from math_verify import parse |
| import tqdm |
| import argparse |
| def extra_revise(response:str): |
| |
| 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)) |
| |
| |
| 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) |