MichaelBoll/Code-Feedbackuxr
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement [🏠Homepage] | [🛠️Code] 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… See the full description on the dataset page: https://huggingface.co/datasets/MichaelBoll/Code-Feedbackuxr.
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1---2language:3- en4pipeline_tag: text-generation5tags:6- code7license: apache-2.08task_categories:9- question-answering10size_categories:11- 10K<n<100K12---13 14<h1 align="center"> OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement<h1>15 16<p align="center">17<img width="1000px" alt="OpenCodeInterpreter" src="https://opencodeinterpreter.github.io/static/images/figure1.png">18</p>19<p align="center">20 <a href="https://opencodeinterpreter.github.io/">[🏠Homepage]</a> 21 |22 <a href="https://github.com/OpenCodeInterpreter/OpenCodeInterpreter/">[🛠️Code]</a> 23</p>24<hr>25 26## Introduction27OpenCodeInterpreter 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.28 29For 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.30 31## Contact32 33If you have any inquiries, please feel free to raise an issue or reach out to us via email at: xiangyue.work@gmail.com, zhengtianyu0428@gmail.com. 34We're here to assist you!35 36 37⚠️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.