datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Mirage-Test
🌊 Mirage-Test Dataset
Mirage-Test is a modern test-only dataset for benchmarking AI-generated image detection models.
It contains real (0_real) and fake (1_fake) images across five distinct content domains, designed to evaluate generalization across diverse visual semantics.
The fake images are generated using state-of-the-art generative models specifically optimized for perceptual realism and visual fidelity.
📌 This dataset is for evaluation only. No training split is… See the full description on the dataset page: https://huggingface.co/datasets/Yunncheng/Mirage-Test.mirage-news
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
[Paper]
[Github]
This dataset contains a total of 15,000 pieces of real or AI-generated multimodal news (image-caption pairs) -- a training set of 10,000 pairs, a validation set of 2,500 pairs, and five test sets of 500 pairs each. Four of the test sets are out-of-domain data from unseen news publishers and image generators to evaluate detector's generalization ability.
=== Data Source (News Publisher + Image Generator)… See the full description on the dataset page: https://huggingface.co/datasets/anson-huang/mirage-news.mirage-news
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
[Paper]
[Github]
This dataset contains a total of 15,000 pieces of real or AI-generated multimodal news (image-caption pairs) -- a training set of 10,000 pairs, a validation set of 2,500 pairs, and five test sets of 500 pairs each. Four of the test sets are out-of-domain data from unseen news publishers and image generators to evaluate detector's generalization ability.
=== Data Source (News Publisher + Image Generator)… See the full description on the dataset page: https://huggingface.co/datasets/Gouge666/mirage-news.