Qwen/ProcessBench

Dataset

ProcessBench

59

5 commits

2 linked in READMEs

updated Dec 27, 2024

See the code

README

ProcessBench

This repository contains the dataset of the ProcessBench benchmark proposed by Qwen Team.

You can refer to our GitHub repository for the evaluation code and the prompt templates we use in this work.

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

@article{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
  },
  journal={arXiv preprint arXiv:2412.06559},
  year={2024}
}

Data Usage

You can use the following code to preview the dataset:

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
}
"""
math
reasoning

Contributors

chujiezheng

5 commits

Qwen/ProcessBench

Dataset

ProcessBench

59

5 commits

2 linked in READMEs

updated Dec 27, 2024

See the code

README

ProcessBench

This repository contains the dataset of the ProcessBench benchmark proposed by Qwen Team.

You can refer to our GitHub repository for the evaluation code and the prompt templates we use in this work.

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

@article{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
  },
  journal={arXiv preprint arXiv:2412.06559},
  year={2024}
}

Data Usage

You can use the following code to preview the dataset:

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
}
"""
math
reasoning

Contributors

chujiezheng

5 commits