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MLL-Lab/MultiBBQ-perturbations

MultiBBQ: image perturbations Image-level perturbation sets used for the robustness experiments in Fairness Failure Modes of Multimodal LLMs. Each set is the GPT-Image-1 image collection from MLL-Lab/MultiBBQ with a single, controlled transform applied. Evaluating on a perturbed set measures how stable a model's fairness behavior is under everyday image degradations. Paper: Fairness Failure Modes of Multimodal LLMs Code:… See the full description on the dataset page: https://huggingface.co/datasets/MLL-Lab/MultiBBQ-perturbations.

Author / organizationMLL-Lab
License (as declared)cc-by-4.0
Downloads1.4K (as reported by Hugging Face)
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Created9 July 2026
Last updated at source25 September 2026
fairnesssocial-biasmultimodalvision-languagerobustnessimage-perturbation
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