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Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"

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ProcessBench

📄 [paper] 🤗 [data]

This is the official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"

If you find this work relevant or helpful to your work, please kindly cite us:

@inproceedings{ processbench, title={ProcessBench: Identifying Process Errors in Mathematical Reasoning}, author={ Chujie Zheng and Zhenru Zhang and Beichen Zhang and Runji Lin and Keming Lu and Bowen Yu and Dayiheng Liu and Jingren Zhou and Junyang Lin }, booktitle={The 63rd Annual Meeting of the Association for Computational Linguistics }, year={2025} }

Data Usage

You can use the following code to preview the ProcessBench data:

import json from datasets import load_dataset dataset = load_dataset('Qwen/ProcessBench', split='gsm8k') print(json.dumps(dataset[0], indent=2)) # Expected output: """ {  "id": "gsm8k-0",  "generator": "Qwen2-7B-Instruct",  "problem": "Sue lives in a fun neighborhood...",  "steps": [  "To find out how many more pink plastic flamingos were out than...",  ...  ],  "final_answer_correct": false,  "label": 1 } """

Evaluation

You can refer to the code folder for the evaluation code and the prompt templates we use in this work

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Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"

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