Episoode/Double-Bench

Double-Bench: A Multilingual & Multimodal Evaluation System for Document RAG We introduce Double-Bench, a new large-scale, multilingual, and multimodal evaluation system for assessing Retrieval-Augmented Generation (RAG) systems using Multimodal Large Language Models (MLLMs). The dataset and benchmark were introduced in the paper Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?. Project Page: https://double-bench.github.io/ Code Repository:… See the full description on the dataset page: https://huggingface.co/datasets/Episoode/Double-Bench.

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