网络意图翻译 (NIT):用于网络意图翻译的数据集
Ala' A AlSamarneh1, Omar Y Al-Jarrah1, Ahmad T Al-Hammouri1,2
1Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Data in brief
|July 21, 2025
概括
网络意图翻译 (NIT) 数据集为Juniper设备提供自然语言对网络配置的翻译. 本资源有助于研究通过基于意图的网络实现网络管理的自动化.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
背景情况:
- 网络配置是复杂的,通常是手动的.
- 网络管理的自动化需要将高级别的意图转化为低级别的配置.
研究的目的:
- 介绍网络意图翻译 (NIT) 数据集.
- 促进网络意图翻译的研究,特别是意图向供应商的翻译.
主要方法:
- NIT数据集包括1000条条目,每个条目都是一个带有问题 (意图),上下文和答案 (配置) 的JSON对象.
- 为运行JUNOS的Juniper EX3300交换机生成和验证了数据,确保了语法正确性.
主要成果:
- 数据集提供了与Juniper设备配置映射的自然语言意图.
- 它专注于翻译准确性,而不是参数值验证或冲突解决.
结论:
- NIT数据集是推动网络意图翻译研究的宝贵资源.
- 它支持自动化网络管理解决方案的开发.
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