Task
Image Classification
O
ComplexDataLab/OpenFake
Image Classification · ComplexDataLab· 45.1K
cc-by-nc-4.0
4.7 GB
Dataset Card for OpenFake Known issues Prompt–image misalignment in the synthetic split (reported November 2025, fix pending) For five of the eighty generators, the prompt field attached to synthetic images does not correspond to the prompt actually used to generate that image. Affected generators: flux-realism sd-3.5 sdxl-realvis-v5 sd-1.5-dreamshaper sd-1.5-epicdream This affects approximately 19.77% of synthetic images. It was first reported in discussion… See the full description on the dataset page: https://huggingface.co/datasets/ComplexDataLab/OpenFake.
# download instantly
mlforge datasets pull ComplexDataLab/OpenFake
mlforge datasets pull ComplexDataLab/OpenFake
Dataset details
Language
en
License
cc-by-nc-4.0
Size
4.7 GB
Creator
ComplexDataLab
Downloads
45.1K
Source
huggingface_datasets
Updated
2026-08-03
About ComplexDataLab/OpenFake
OpenFake is a dataset and benchmark for detecting AI-generated images, with a focus on politically and socially salient content where misinformation risk is highest. It pairs real photographs with synthetic counterparts produced by a wide range of frontier proprietary generators, open-source diffusion models, and community fine-tunes. A separate in-the-wild test set is sourced from Reddit to evaluate detector performance on naturally circulated synthetic media.