intertwine-ai/security-verifiers-e2-metadata

这是一个关于Kubernetes和Terraform安全配置验证的元数据集，包含了用于描述私有数据集构建方式的样本元数据。数据集包括配置文件的来源、扫描配置、违规分类及严重性等信息。此数据集旨在提供一个工具驱动的奖励函数，以评估模型在安全配置验证方面的性能。

This is a metadata dataset for security configuration verification of Kubernetes and Terraform, containing sample metadata that describes the construction of private datasets. The dataset includes information about the source of configuration files, scan configurations, violation categories, and severity levels. It aims to provide a tool-grounded reward function to evaluate model performance in security configuration verification.