{"url":"/dataset/entityquestions","name":"EntityQuestions","full_name":null,"description_markdown":"**EntityQuestions** is a dataset of simple, entity-rich questions based on facts from Wikidata (e.g., \"Where was Arve Furset born? \").","description_withheld":null,"homepage":"https://github.com/princeton-nlp/EntityQuestions","introduced_date":"2021-09-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/simple-entity-centric-questions-challenge","title":"Simple Entity-Centric Questions Challenge Dense Retrievers","first_author":"Christopher Sciavolino","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Passage Retrieval","url":"/task/passage-retrieval","datasets_with_task":"/datasets/task/passage-retrieval"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["EntityQuestions"],"data_loaders":[],"num_papers_in_archive":30,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/passage-retrieval-on-entityquestions","task":"Passage Retrieval","dataset_variant":"EntityQuestions","rows":7,"metrics":["Recall@20"],"first_row_in_archive_order":{"model":"TOME-2","paper":"/paper/mention-memory-incorporating-textual-1","metrics":{"Recall@20":"0.838"},"code_links":[{"title":"google-research/language","url":"https://github.com/google-research/language/tree/master/language/mentionmemory"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/can-a-frozen-pretrained-language-model-be","title":"Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?","date":"2023-03-09","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/salient-phrase-aware-dense-retrieval-can-a","title":"Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?","date":"2021-10-13","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/mention-memory-incorporating-textual-1","title":"Mention Memory: incorporating textual knowledge into Transformers through entity mention attention","date":"2021-10-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/simple-entity-centric-questions-challenge","title":"Simple Entity-Centric Questions Challenge Dense Retrievers","date":"2021-09-17","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":1,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":6,"samples_ran":1,"samples_unverified":5,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}