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probejie/MINTQA

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge MINTQA evaluates how well LLMs answer complex multi-hop (1–4 hops) questions that involve unpopular and new knowledge. It has two subsets: Config Examples Dimension Per-hop type labels pop (MINTQA-POP) 17,887 Knowledge popularity: unpopular vs. popular facts R, F ti (MINTQA-TI) 10,479 Time: new facts (only in the 2024 Wikidata dump) vs. old facts (in both 2021 and 2024)… See the full description on the dataset page: https://huggingface.co/datasets/probejie/MINTQA.

Author / organizationprobejie
Downloads174 (as reported by Hugging Face)
Likes1
Created27 September 2026
Last updated at source27 September 2026
multi-hopknowledge-graphwikidatalong-tailnew-knowledgerag
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