Datasets:
docs: v1.0.0 fix pass — Bench HF card frontmatter, ship RELEASE_MANIFEST.json + schema.json, counts synced (raw 75,000; 123 rejects), checksums regenerated
0531a1d verified | cff-version: 1.2.0 | |
| title: "SFHQ-VirtualID: Synthetic Identity-Conditioned Face Datasets for Machine Unlearning" | |
| message: "If you use either release in your work, please cite the corresponding dataset entry." | |
| type: dataset | |
| authors: | |
| - family-names: Palwala | |
| given-names: Faiz | |
| orcid: 0009-0000-1426-9471 | |
| version: 1.0.0 | |
| date-released: 2026-08-15 | |
| doi: 10.5281/zenodo.21877893 | |
| identifiers: | |
| - type: doi | |
| value: 10.5281/zenodo.21877893 | |
| description: "SFHQ-VirtualID-Bench (primary benchmark release)" | |
| - type: doi | |
| value: 10.5281/zenodo.21879130 | |
| description: "SFHQ-VirtualID-Raw (full-resolution portraits)" | |
| url: "https://github.com/FaizPalwala/virtual-id-gen" | |
| repository-code: "https://github.com/FaizPalwala/virtual-id-gen" | |
| abstract: > | |
| A family of synthetic, identity-conditioned face datasets generated via | |
| InstantID + Juggernaut-XL-v9 from CC0 synthetic SFHQ seed images. 750 | |
| synthetic identities with identity-level split isolation (retain 675 / | |
| forget 75) and MUFAC-aligned per-image train + holdout subsets, following | |
| a sequential 15-step forgetting protocol. Two releases: | |
| SFHQ-VirtualID-Bench (224x224 aligned crops — 67,500 balanced + 36,064 | |
| imbalanced with a ratio-based 82:41:16 train gradient, both schedules | |
| uniform and seeded-Poisson) and SFHQ-VirtualID-Raw (1024x1024 portraits, | |
| 75,000 images, JPEG q95 4:4:4, max-size reference). | |
| keywords: | |
| - synthetic face dataset | |
| - machine unlearning | |
| - identity-conditioned generation | |
| - InstantID | |
| - Juggernaut-XL-v9 | |
| - SDXL | |
| - long-tail distribution | |
| license: other | |