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**/__pycache__

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Legal Disclaimer
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Within this source code, the comments in Chinese shall be the original, governing version. Any comment in other languages are for reference only. In the event of any conflict between the Chinese language version comments and other language version comments, the Chinese language version shall prevail.
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法律免责声明
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关于代码注释部分,中文注释为官方版本,其它语言注释仅做参考。中文注释可能与其它语言注释存在不一致,当中文注释与其它语言注释存在不一致时,请以中文注释为准。

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Copyright [2023] [Ant Group]
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<p align="center"> <img src="images/DevOps-Eval Logo.png" style="width: 50%;" id="title-icon"> </p>
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# <p align="center">A DevOps Domain Knowledge Evaluation Benchmark for Large Language Models</p>
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<p align="center">
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🤗 <a href="https://huggingface.co/datasets/DevOps-Eval/devopseval-exam" target="_blank">Hugging Face</a> • ⏬ <a href="#data" target="_blank">Data</a> • 📖 <a href="resources/tutorial.md" target="_blank">Tutorial (ZH)</a>
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<br>
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<a href="https://github.com/luban-agi/DevOps-Eval/README_zh.md"> 中文</a> | <a href="https://github.com/luban-agi/DevOps-Eval/README.md">English
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</p>
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DevOps-Eval is a comprehensive evaluation suite specifically designed for foundation models in the DevOps field. It consists of xxxx multi-choice questions spanning 8 diverse disciplines, as shown below.
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We hope DevOps-Eval could help developers, especially in the DevOps field, track the progress and analyze the important strengths/shortcomings of their models.
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<img src="images/devops_diagram_zh.jpg" style="zoom: 80%;" >
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## News
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* **[2023.09.30]** DevOps-Eval...
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<br>
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<br>
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## Table of Contents
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- [Leaderboard](#leaderboard)
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- [Results On Validation Split](#results-on-validation-split)
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- [Data](#data)
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- [How to Evaluate](#how-to-evaluate)
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- [How to Submit](#how-to-submit)
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- [TODO](#todo)
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- [Licenses](#licenses)
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- [Citation](#citation)
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## Leaderboard
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coming soon
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<br>
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<br>
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## Results On Validation Split
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coming soon
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<br>
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<br>
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## Data
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coming soon
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<br>
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<br>
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## How to Evaluate
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coming soon
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<br>
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<br>
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## How to Submit
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coming soon
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<br>
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<br>
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## TODO
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<br>
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<br>
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## Licenses
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[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
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This work is licensed under a [MIT License](https://lbesson.mit-license.org/).
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<br>
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<br>
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## Citation
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Please cite our paper if you use our dataset.
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<br>
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<br>

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# DevOps-Eval
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A DevOps Domain Knowledge Evaluation Benchmark for Large Language Models
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<p align="center">
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🤗 <a href="https://huggingface.co/datasets/DevOps-Eval/devopseval-exam" target="_blank">Hugging Face</a> • ⏬ <a href="#data" target="_blank">数据</a> • 📖 <a href="resources/tutorial.md" target="_blank">教程</a>
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<br>
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<a href="https://github.com/luban-agi/DevOps-Eval/README.md"> English</a> | <a href="https://github.com/luban-agi/DevOps-Eval/README_zh.md"> 中文
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</p>
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## 更新
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* **[2023.09.30]** DevOps-Eval...
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<br>
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<br>
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## 目录
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- [排行榜](#排行榜)
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- [验证集结果](#验证集结果)
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- [数据](#数据)
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- [如何进行测试](#如何进行测试)
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- [如何提交](#如何提交)
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- [TODO](#todo)
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- [Licenses](#licenses)
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- [引用](#引用)
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## 排行榜
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coming soon
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<br>
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<br>
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## 验证集结果
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coming soon
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<br>
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<br>
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## 数据
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coming soon
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<br>
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<br>
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## 如何进行测试
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coming soon
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<br>
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<br>
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## 如何提交
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coming soon
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<br>
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<br>
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## TODO
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<br>
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<br>
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## Licenses
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[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
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本项目遵循 [MIT License](https://lbesson.mit-license.org/).
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<br>
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<br>
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## 引用
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如果您使用了我们的数据集,请引用我们的论文。
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<br>
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<br>

Diff for: conf/dataset_fp.json

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{
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"computer_science": "computer_science.csv",
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"computer_security": "computer_security.csv",
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"machine_learning": "machine_learning.csv",
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"college_programming": "college_programming.csv",
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"computer_architecture": "computer_architecture.csv",
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"computer_network": "computer_network.csv",
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"tech_risk": "risk.csv"
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}

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