---
license: mit
language:
- en
tags:
- code
pretty_name: ' ArcherCodeR'
size_categories:
- 1K<n<10K
task_categories:
- text-generation
viewer: false
---


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# ✨ ArcherCodeR

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🏹️  Reinforcement Learning for Enhanced Code Reasoning in LLMs  🎯
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[![Github](https://img.shields.io/badge/Code-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white)](https://github.com/wizard-III/ArcherCodeR)
[![Model](https://img.shields.io/badge/Model-fcd022?style=for-the-badge&logo=huggingface&logoColor=000&labelColor)](https://huggingface.co/wizardII/ArcherCodeR-1.5B)
[![Data](https://img.shields.io/badge/Data-fcd022?style=for-the-badge&logo=huggingface&logoColor=000&labelColor)](https://huggingface.co/datasets/wizardII/ArcherCodeR-Dataset)
[![Wandb](https://img.shields.io/badge/Wandb-000000?style=for-the-badge&logo=Wandb&logoColor=000&labelColor)](https://wandb.ai/wangjkpkucs-peking-university/ArcherCodeR?nw=nwuserwangjkpkucs)
[![知乎](https://img.shields.io/badge/知乎-0084FF?style=for-the-badge&logo=zhihu&logoColor=white)](https://zhuanlan.zhihu.com/p/1918765619614057424)

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## Overview

[`ArcherCodeR-Dataset`](https://huggingface.co/datasets/wizardII/ArcherCodeR-Dataset) is **a dataset of verifiable, challenging, and diverse coding questions (6.7K)**. This dataset is used to train the **`ArcherCodeR`** model series, which consists of code reasoning models trained using large-scale rule-based reinforcement learning with carefully designed datasets and training recipes.

We select, clean, and curate coding problems from open-source datasets, including

- [agentica-org/DeepScaleR-Preview-Dataset](https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset)
- [deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
- [open-r1/codeforces](https://huggingface.co/datasets/open-r1/codeforces)

### 🔍 Key Notes:

- Both code_contests (DeepMind) and codeforces (Open-r1) datasets include regenerated test cases to mitigate false positives.
- Significant prompt duplication exists across sources. When duplicates occur, code_contests or codeforces data takes priority.

For more details on data processing, please refer to our [Zhihu article](https://zhuanlan.zhihu.com/p/1918765619614057424).

## Technical Report

The technical report will be released soon.