MM-Hallu/MERLIM

MERLIM MERLIM (Multi-modal Evaluation Benchmark for Large Image-Language Models) is a scalable benchmark to assess IT-LVLMs on fundamental computer vision tasks with a focus on detecting cross-modal hallucination events. It contains over 42K entries across three evaluation splits: classification_counting (31,373 entries): Object counting and recognition tasks using edited (in-painted) COCO images where objects have been removed. reasoning_curated (5,630 entries): Inter-object… See the full description on the dataset page: https://huggingface.co/datasets/MM-Hallu/MERLIM.

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