m-a-p/Code-Feedback

---
language:
- en
pipeline_tag: text-generation
tags:
- code
license: apache-2.0
task_categories:
- question-answering
size_categories:
- 10K<n<100K
---

<h1 align="center"> OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement<h1>

<p align="center">
<img width="1000px" alt="OpenCodeInterpreter" src="https://opencodeinterpreter.github.io/static/images/figure1.png">
</p>
<p align="center">
<a href="https://opencodeinterpreter.github.io/">[🏠Homepage]</a>
|
<a href="https://github.com/OpenCodeInterpreter/OpenCodeInterpreter/">[🛠️Code]</a>
</p>
<hr>

## Introduction
OpenCodeInterpreter is a family of open-source code generation systems designed to bridge the gap between large language models and advanced proprietary systems like the GPT-4 Code Interpreter. It significantly advances code generation capabilities by integrating execution and iterative refinement functionalities.

For further information and related work, refer to our paper: ["OpenCodeInterpreter: A System for Enhanced Code Generation and Execution"](https://arxiv.org/abs/2402.14658) available on arXiv.

## Contact

If you have any inquiries, please feel free to raise an issue or reach out to us via email at: [e-mail], [e-mail].
We're here to assist you!

⚠️The dataset contains part data generated by GPT-4-0613 and GPT-3.5-turbo-0613, developed by OpenAI. Please pay attention to OpenAI's usage policy when adopting this dataset: https://openai.com/policies/usage-policies.

语言：
- 英语
流水线任务类型：文本生成
标签：
- 代码
许可证：Apache-2.0
任务类别：
- 问答
数据规模：
- 1万 < 样本数 < 10万

---

<h1 align="center">OpenCodeInterpreter：将代码生成与执行及迭代优化相结合</h1>

<p align="center">
<img width="1000px" alt="OpenCodeInterpreter" src="https://opencodeinterpreter.github.io/static/images/figure1.png">
</p>
<p align="center">
<a href="https://opencodeinterpreter.github.io/">[🏠主页]</a>
|
<a href="https://github.com/OpenCodeInterpreter/OpenCodeInterpreter/">[🛠️代码仓库]</a>
</p>
<hr>

## 简介
OpenCodeInterpreter是一系列开源代码生成系统，旨在弥合大语言模型（Large Language Model, LLM）与GPT-4代码解释器等高级闭源系统之间的差距。本系列通过集成代码执行与迭代优化功能，显著提升了代码生成能力。

如需了解更多信息及相关研究，请参阅我们发表在arXiv上的论文《OpenCodeInterpreter：面向增强型代码生成与执行的系统》，链接为：https://arxiv.org/abs/2402.14658。

## 联系方式
如有任何疑问，欢迎提交Issue或通过以下邮箱联系我们：[e-mail]、[e-mail]。我们将竭诚为您提供帮助！

⚠️本数据集包含由OpenAI开发的GPT-4-0613与GPT-3.5-turbo-0613生成的部分数据。在使用本数据集时，请务必遵守OpenAI的使用政策：https://openai.com/policies/usage-policies。

原始信息汇总

数据集概述

基本信息

• 名称: OpenCodeInterpreter
• 语言: 英语
• 标签: 代码
• 许可证: Apache-2.0
• 任务类别: 问答
• 大小类别: 10K<n<100K

描述

OpenCodeInterpreter是一个开源的代码生成系统，旨在弥合大型语言模型与高级专有系统（如GPT-4 Code Interpreter）之间的差距。该系统通过集成执行和迭代细化功能，显著提升了代码生成能力。

相关文献

• 论文: "OpenCodeInterpreter: A System for Enhanced Code Generation and Execution"

联系方式

• 邮箱: [e-mail], [e-mail]