We used reliable public data from 1970 to 2020 to curate attributes like prior criminal counts and recidivism outcomes. The dataset contains large number of samples from five racial groups, in addition to information like sex and age (at judgment and first offense).

As the state-of-the-art framework, i.e., RecEraser, naturally achieves full unlearning completeness,

'It was like a phone call suddenly connecting' Ai Weiwei. 'It was like a phone call suddenly connecting' Ai Weiwei. 'Was I scared going back to China? He has been jailed, tracked and threatened by China's government. What was it like pay a visit home?

For what purpose was the dataset created?Was therea specific task in mind? Was there aspecific gap that needed to be filled? Please provide a description.The Multi-LexSum dataset was curated to facilitate the development of automaticsummarization methods for civil rights lawsuits.Recent advances in document summarization have led to impressive results in generating ashort description for passages typically in hundreds of words. However, the source inputs forsummarizing civil right lawsuits are considerably longer: they can contain up to 70k words onaverage.

EEOC sought injunctiverelief, as well as damages (including backpay) for the Black apprenticeshipapplicants. Don' t Give Methe Details, Just the Summary!