StratRAG is a retrieval evaluation dataset for benchmarking Retrieval-Augmented Generation (RAG) systems on multi-hop reasoning tasks. It was introduced in the paper StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems.
It is derived from HotpotQA (distractor setting) and structured specifically for evaluating retrieval strategies — including sparse (BM25), dense, and hybrid approaches — in realistic, noisy document pool… See the full description on the dataset page:
https://huggingface.co/datasets/Aryanp088/StratRAG.
