FaizPalwala/SFHQ-VirtualID-Bench

SFHQ-VirtualID-Bench Dataset Card Summary SFHQ-VirtualID-Bench is a synthetic, identity-conditioned face dataset of 750 synthetic identities, built as a benchmark for machine unlearning. Each identity is a deletion unit: all 90 aligned 224×224 crops of one identity share a single identity-level split (retain or forget), and 75 identities follow a sequential 15-step forgetting protocol. Every identity contributes both per-image image_subset values (train + holdout)… See the full description on the dataset page: https://huggingface.co/datasets/FaizPalwala/SFHQ-VirtualID-Bench.