multi-hop
MultiHopRAG
Dataset Card for Dataset Name
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
Dataset Description
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.
Dataset Sources… See the full description on the dataset page: https://huggingface.co/datasets/yixuantt/MultiHopRAG.multihop_qamultihop_qa_sftmultihop-qa-testmultihop_qa_sft_doc4096_seq1024_v2MultihopSpatial
[ECCV 2026] MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Models
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Model
Overview
MultihopSpatial is a benchmark designed to evaluate whether vision-language models (VLMs) demonstrate robustness in multi-hop compositional spatial reasoning. Unlike existing benchmarks that only assess single-step spatial relations, MultihopSpatial features queries with 1 to 3 reasoning hops paired with… See the full description on the dataset page: https://huggingface.co/datasets/etri-vilab/MultihopSpatial.