CCv2

该数据集是一个以同意为基础的大型数据集，旨在全面测量算法偏见和鲁棒性，其中包含了详尽的类别和子类别列表。为确保在测量不同年龄群体和性别身份之间的算法偏见时具有包容性和鲁棒性，该数据集将涵盖各种类别和子类别。该数据集的任务是测量人工智能系统中的算法偏见和鲁棒性。

This is a consent-based large-scale dataset designed to comprehensively measure algorithmic bias and robustness, which includes an exhaustive list of categories and subcategories. To ensure inclusivity and robustness when measuring algorithmic bias across different age groups and gender identities, this dataset covers a wide range of categories and subcategories. The core task of this dataset is to measure algorithmic bias and robustness in artificial intelligence systems.