Dataset · Hugging Face

MM-Hallu/MIHBench

Name: MIHBench
Creator: MM-Hallu
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, multi-image, hallucination, benchmark

MIHBench Multi-Image Hallucination Benchmark for evaluating multi-image understanding in MLLMs. 3,200 samples across 4 tasks (800 each), with each sample containing 2-4 images from COCO. Fields Field Description images 2-4 images (list) question Natural language question about the images label Ground truth: "yes" or "no" task Task identifier num_images Number of images in the sample image_names Source image filenames Additional fields for… See the full description on the dataset page: https://huggingface.co/datasets/MM-Hallu/MIHBench.

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Author / organization	MM-Hallu
License (as declared)	cc-by-4.0
Downloads	143 (as reported by Hugging Face)
Likes	0
Created	27 April 2026
Last updated at source	4 May 2026

multi-imagehallucinationbenchmarkvision-language-modelmultimodal

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16 Oct 2026 Description: MIHBench Multi-Image Hallucination Benchmark for evaluating multi-image understanding in MLLMs. 3,200 samples across 4 tasks (800 each), with each sample containing 2-4 images from COCO. Fields Field Description images 2-4 images (list) que → MIHBench Multi-Image Hallucination Benchmark for evaluating multi-image understanding in MLLMs. 3,200 samples across 4 tasks (800 each), with each sample containing 2-4 images from COCO. Fields Field Description images 2-4 images (list) que

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