datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Hidream_t2i_human_preference
Rapidata Hidream I1 full Preference
This T2I dataset contains over 195k human responses from over 38k individual annotators, collected in just ~1 Day using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Hidream I1 full across three categories: preference, coherence, and alignment.
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If you get value from this dataset and would like to see more in the future, please consider liking it… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Hidream_t2i_human_preference.passport-id-face-injection-qwen-hidream-v1
Passport/ID Face-Injection Detection Benchmark v1
A demographically-stratified, paired real-vs-synthetic benchmark of identity-preserving
face-injection attacks framed for the passport / ID / remote-KYC threat model. This is an
evaluation benchmark, not training data.
Version: v1 (pristine cohort, pre-perturbation). Generated 2026-07-15/16.
Total images: 2,994 = 998 bona-fide reals + 1,996 synthetic attacks (998 per generator).
Structure: paired. Each real reference has… See the full description on the dataset page: https://huggingface.co/datasets/danb21/passport-id-face-injection-qwen-hidream-v1.kyc-passport-deepfake-pad-hidream-o1-qwen-image-edit
KYC Passport Deepfake / Presentation-Attack Benchmark
HiDream-O1 · Qwen-Image-Edit · 23 document-reproduction conditions
A presentation-attack detection (PAD) evaluation set for identity-document face
imagery: real reference faces and generator-attributed synthetic faces, each carried
through 23 acquisition conditions that emulate how a passport photo actually reaches a
KYC system: print and scan, photocopy, fax, phone recapture, JPEG chains, and
background… See the full description on the dataset page: https://huggingface.co/datasets/danb21/kyc-passport-deepfake-pad-hidream-o1-qwen-image-edit.