Dataset · Hugging Face

MM-Hallu/BEAF

Name: BEAF
Creator: MM-Hallu
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, hallucination-evaluation, pope, object-hallucination

BEAF: Before-After Changes for Hallucination Evaluation BEAF is a benchmark for evaluating object hallucination in vision-language models using before-after image manipulation pairs. 26,064 QA pairs over 2,223 images (500 original COCO images + 1,723 manipulated images) with POPE-style yes/no questions. Fields Field Description image The image (original COCO or manipulated) question POPE-style question: "Is there a/an {object} in the image?" gt Ground truth… See the full description on the dataset page: https://huggingface.co/datasets/MM-Hallu/BEAF.

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Author / organization	MM-Hallu
License (as declared)	cc-by-4.0
Downloads	491 (as reported by Hugging Face)
Likes	0
Created	27 April 2026
Last updated at source	30 April 2026

hallucination-evaluationpopeobject-hallucinationmultimodalvision-language-model

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