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 / organization | probejie |
|---|---|
| Downloads | 174 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 27 September 2026 |
| Last updated at source | 27 September 2026 |
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174 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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