US Accidents for Domain Generalization
收藏DataCite Commons2025-05-14 更新2025-05-17 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FLJFKC
下载链接
链接失效反馈官方服务：
资源简介：
A preprocessed version of Kaggle's "US Accidents (2016 - 2023)" dataset. The dataset is split by cities and is meant to test domain generalization.
A cleaned and processed version of the "US Accidents dataset (2016–2023)" on Kaggle, where the task is to predict accident severity via estimated traffic delay duration. Features include weather, road, and time-related conditions. Domains correspond to different U.S. states: CA, TX, FL, OR, and MN. The dataset is used to evaluate domain generalization.
提供机构：
Harvard Dataverse
创建时间：
2025-05-13
