XRAG is a benchmark dataset for evaluating LLMs' generation capabilities in a cross-lingual RAG setting, where questions and retrieved documents are in different languages. It covers two different cross-lingual RAG scenarios:
Cross-lingual RAG with Monolingual Retrieval, where questions are non-English while the retrieved documents are in EnglishCross-lingual RAG with Multilingual Retrieval, where questions are non-English while the… See the full description on the dataset page:
https://huggingface.co/datasets/AmazonScience/XRAG.
