---
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>