A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
MultiHop-RAG: a QA dataset to evaluate retrieval and reasoning across documents with metadata in the RAG pipelines. It contains 2556 queries, with evidence for each query distributed across 2 to 4 documents. The queries also involve document metadata, reflecting complex scenarios commonly found in real-world RAG applications.
BibTeX:
@misc{tang2024multihoprag,
title={MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries},
author={Yixuan Tang and Yi Yang},
year={2024},
eprint={2401.15391},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
MultiHop-RAG: a QA dataset to evaluate retrieval and reasoning across documents with metadata in the RAG pipelines. It contains 2556 queries, with evidence for each query distributed across 2 to 4 documents. The queries also involve document metadata, reflecting complex scenarios commonly found in real-world RAG applications.
BibTeX:
@misc{tang2024multihoprag,
title={MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries},
author={Yixuan Tang and Yi Yang},
year={2024},
eprint={2401.15391},
archivePrefix={arXiv},
primaryClass={cs.CL}
}