AmazonScience/XRAG
XRAG 1. π Overview 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 English Cross-lingual RAG with Multilingual Retrieval, where questions are non-English while theβ¦ See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/XRAG.
| Author / organization | AmazonScience |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 183 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 23 May 2025 |
| Last updated at source | 11 August 2025 |
Recent changes
- 16 Oct 2026 Description: XRAG 1. π Overview 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 scena β XRAG 1. π Overview 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 scena
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