""" This script is used to convert https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero Usage: python scripts/data/rlvr/open_reasoner.py --push_to_hub python scripts/data/rlvr/open_reasoner.py --push_to_hub --hf_entity ai2-adapt-dev """ from collections import defaultdict from dataclasses import dataclass import os from typing import Optional import datasets from huggingface_hub import HfApi from huggingface_hub.repocard import RepoCard from transformers import HfArgumentParser @dataclass class Args: push_to_hub: bool = False file_path: str = "orz_math_57k_collected.json" hf_entity: Optional[str] = None def main(args: Args): # download https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero/raw/refs/heads/main/data/orz_math_57k_collected.json import requests import json if not os.path.exists(args.file_path): url = "https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero/raw/refs/heads/main/data/orz_math_57k_collected.json" response = requests.get(url) with open(args.file_path, "w") as f: f.write(response.text) with open(args.file_path, "r") as f: data = json.load(f) table = defaultdict(list) for item in data: assert len(item) == 2 # 1 question 2 ground truth table["messages"].append([ {"role": "user", "content": item[0]["value"]}, {"role": "assistant", "content": item[1]["ground_truth"]["value"]}, ]) table["ground_truth"].append(item[1]["ground_truth"]["value"]) table["dataset"].append("math") dataset = datasets.Dataset.from_dict(table) if args.push_to_hub: api = HfApi() if not args.hf_entity: args.hf_entity = HfApi().whoami()["name"] file_path = args.file_path.split(".json")[0] repo_id = f"{args.hf_entity}/rlvr_{file_path}" print(f"Pushing dataset to Hub: {repo_id}") dataset.push_to_hub(repo_id) api.upload_file( path_or_fileobj=__file__, path_in_repo="create_dataset.py", repo_type="dataset", repo_id=repo_id, ) # Add RepoCard repo_card = RepoCard( content=f"""\ # Open Reasoner Dataset This dataset is converted from [Open-Reasoner-Zero](https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero)'s math dataset. Check out https://github.com/allenai/open-instruct/blob/main/scripts/data/rlvr/open_reasoner.py for the conversion script. ## Dataset Format The dataset contains math problems and their solutions in a conversational format: - `messages`: List of message dictionaries with user questions and assistant answers - `ground_truth`: The correct solution for each problem - `dataset`: Always "math" to indicate this is from the math datases""") repo_card.push_to_hub( repo_id, repo_type="dataset", ) if __name__ == "__main__": parser = HfArgumentParser((Args)) main(*parser.parse_args_into_dataclasses())