MRAMG-Bench is a comprehensive multimodal benchmark with six carefully curated English datasets. The benchmark comprises 4,346 documents, 14,190 images, and 4,800 QA pairs, sourced from three domains—Web Data, Academic Papers, and Lifestyle Data. We believe it provides a robust evaluation framework that advances research in Multimodal Retrieval-Augmented Multimodal Generation (MRAMG).
The dataset consists of three major components: Documents… See the full description on the dataset page:
https://huggingface.co/datasets/MRAMG/MRAMG-Bench.
