{"url":"/dataset/simplequestionswikidata","name":"SimpleQuestionsWikiData","full_name":null,"description_markdown":"SimpleQuestionsWikidata maps [SimpleQuestions](https://research.fb.com/downloads/babi/) to Wikidata.\r\n\r\nIt was proposed in the paper [Question Answering Benchmarks for Wikidata](https://ceur-ws.org/Vol-1963/paper555.pdf) by Diefenbach et al.","description_withheld":null,"homepage":"https://github.com/askplatypus/wikidata-simplequestions","introduced_date":"2023-10-23","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC License","url":"https://github.com/askplatypus/wikidata-simplequestions/blob/master/LICENSE.txt"},"modalities":[],"tasks":[{"name":"Semantic Parsing","url":"/task/semantic-parsing","datasets_with_task":"/datasets/task/semantic-parsing"},{"name":"Knowledge Base Question Answering","url":"/task/knowledge-base-question-answering","datasets_with_task":"/datasets/task/knowledge-base-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SimpleQuestionsWikiData"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/knowledge-base-question-answering-on-4","task":"Knowledge Base Question Answering","dataset_variant":"SimpleQuestionsWikiData","rows":5,"metrics":["F1"],"first_row_in_archive_order":{"model":"SPARKLE","paper":"/paper/sparkle-enhancing-sparql-generation-with","metrics":{"F1":"79.6"},"code_links":[{"title":"zzaebok/sparkle","url":"https://github.com/zzaebok/sparkle"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sparkle-enhancing-sparql-generation-with","title":"SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding","date":"2024-06-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gett-qa-graph-embedding-based-t2t-transformer","title":"GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering","date":"2023-03-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-two-stage-approach-towards-generalization-1","title":"A Two-Stage Approach towards Generalization in Knowledge Base Question Answering","date":"2022-01-16","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/sygma-system-for-generalizable-modular","title":"SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases","date":"2021-09-28","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/falcon-20-an-entity-and-relation-linking","title":"Falcon 2.0: An Entity and Relation Linking Tool over Wikidata","date":"2019-12-24","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"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."}