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language:
- en
tags:
- math
- reasoning
size_categories:
- 1K<n<10K
license: apache-2.0
configs:
- config_name: default
data_files:
- split: gsm8k
path: "gsm8k.json"
- split: math
path: "math.json"
- split: olympiadbench
path: "olympiadbench.json"
- split: omnimath
path: "omnimath.json"
---
<div align="center">
# Neural Metrics · Step-level evaluation, because extraction is a chain.
<img src="https://img.shields.io/badge/Neural%20Metrics-document%20extraction-4F46E5?style=for-the-badge" alt="Neural Metrics" />
<img src="https://img.shields.io/badge/fork%20of-Qwen%2FProcessBench-2563EB?style=flat-square" alt="fork" />
</div>
Document extraction is a multi-step process, and an end-to-end accuracy number hides *where* it broke. ProcessBench evaluates reasoning step by step, which is the shape of evaluation we want for our own pipelines.
**We use it for:** benchmarking step-level error localization - studying how failures propagate through a chain rather than just counting final-answer mistakes.
> ### Attribution
> This is an **unmodified fork** of [`Qwen/ProcessBench`](https://huggingface.co/datasets/Qwen/ProcessBench), created by the [Qwen team](https://huggingface.co/Qwen).
> All weights, files and behaviour are identical to upstream — we rehost it so our experiments stay
> reproducible and version-pinned. The original license and all credit remain with the Qwen team.
> If you want the canonical dataset, please use [the original](https://huggingface.co/datasets/Qwen/ProcessBench).
---
<details>
<summary><b>Original dataset card from Qwen/ProcessBench</b> (click to expand)</summary>
<div align="center">
# Neural Metrics · Step-level evaluation, because extraction is a chain.
<img src="https://img.shields.io/badge/Neural%20Metrics-document%20extraction-4F46E5?style=for-the-badge" alt="Neural Metrics" />
<img src="https://img.shields.io/badge/fork%20of-Qwen%2FProcessBench-2563EB?style=flat-square" alt="fork" />
</div>
Document extraction is a multi-step process, and an end-to-end accuracy number hides *where* it broke. ProcessBench evaluates reasoning step by step, which is the shape of evaluation we want for our own pipelines.
**We use it for:** benchmarking step-level error localization - studying how failures propagate through a chain rather than just counting final-answer mistakes.
> ### Attribution
> This is an **unmodified fork** of [`Qwen/ProcessBench`](https://huggingface.co/datasets/Qwen/ProcessBench), created by the [Qwen team](https://huggingface.co/Qwen).
> All weights, files and behaviour are identical to upstream — we rehost it so our experiments stay
> reproducible and version-pinned. The original license and all credit remain with the Qwen team.
> If you want the canonical dataset, please use [the original](https://huggingface.co/datasets/Qwen/ProcessBench).
---
<details>
<summary><b>Original dataset card from Qwen/ProcessBench</b> (click to expand)</summary>
# ProcessBench
This repository contains the dataset of the [ProcessBench](https://huggingface.co/papers/2412.06559) benchmark proposed by Qwen Team.
You can refer to our [GitHub repository](https://github.com/QwenLM/ProcessBench) 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:
```python
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
}
"""
```
</details>
</details>
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