ACS Poverty Ratio for Domain Generalization

This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau. This dataset is a preprocessed version of the American Community Survey (ACS) 2018 Public Use Microdata Sample (PUMS), provided by the U.S. Census Bureau. It is designed for machine learning research on domain generalization. The task is to predict individual poverty ratio based on demographic and socioeconomic features, with age group used to define domain splits. Preprocessing was adapted from the Whyshift repository (https://github.com/namkoong-lab/whyshift), which builds on the Folktables project (https://github.com/socialfoundations/folktables). Folktables provides tools to extract and structure ACS PUMS data. The data remains governed by the U.S. Census Bureau terms of service, available at: https://www.census.gov/data/developers/about/terms-of-service.html.

本产品使用美国人口普查局（Census Bureau）数据API，但未经美国人口普查局背书或认证。本数据集为美国人口普查局提供的2018年美国社区调查（American Community Survey, ACS）公共使用微数据样本（Public Use Microdata Sample, PUMS）的预处理版本，专为域泛化（domain generalization）领域的机器学习研究设计。其任务为基于人口统计学与社会经济特征预测个体贫困率，并以年龄组作为域划分依据。该数据集的预处理方法改编自Whyshift代码库（https://github.com/namkoong-lab/whyshift），而该代码库基于Folktables项目（https://github.com/socialfoundations/folktables）构建。Folktables提供了用于提取和结构化ACS PUMS数据的工具。本数据集仍受美国人口普查局服务条款约束，相关条款可通过以下链接查阅：https://www.census.gov/data/developers/about/terms-of-service.html。