Datasets › PopQA

PopQA

Introduced by Alex Mallen et al. in When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories20 Dec 2022 archive 2025-07-28

PopQA is an open-domain QA dataset with 14k QA pairs with fine-grained Wikidata entity ID, Wikipedia page views, and relationship type information.

Source: https://paperswithcode.com/paper/when-not-to-trust-language-models

Image Source: https://arxiv.org/pdf/2212.10511v1.pdf

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Question Answering PopQA SelfRAG-7b Accuracy 54.9 Self-RAG: Learning to Retrieve, Generate, and Critique... ruc-nlpir/flashrag +5 2 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 91. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 6 2 17 Oct 2023 ran 8 of 14 samples (6 unverified; 3 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PopQA

1 variant name, as the archive lists them.

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