DAISLab-Unisa/

it-rag-bench

IT-RAG-Bench is a synthetic Italian-language retrieval benchmark designed to evaluate dense embedding models on document retrieval and Retrieval-Augmented Generation (RAG) tasks in Italian. This dataset is the companion resource for the paper:

Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG SystemsStefano Cirillo, Domenico Desiato, Giuseppe Polese, Giandomenico Solimando — arXiv… See the full description on the dataset page: https://huggingface.co/datasets/DAISLab-Unisa/it-rag-bench.