{"url":"/dataset/webqsp","name":"WebQSP","full_name":null,"description_markdown":"","description_withheld":null,"homepage":null,"introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Entity Linking","url":"/task/entity-linking","datasets_with_task":"/datasets/task/entity-linking"},{"name":"Knowledge Base Question Answering","url":"/task/knowledge-base-question-answering","datasets_with_task":"/datasets/task/knowledge-base-question-answering"}],"languages":[],"variants":["WebQSP-WD"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/entity-linking-on-webqsp-wd","task":"Entity Linking","dataset_variant":"WebQSP-WD","rows":2,"metrics":["F1"],"first_row_in_archive_order":{"model":"ReFinED","paper":"/paper/refined-an-efficient-zero-shot-capable-1","metrics":{"F1":"89.1"},"code_links":[{"title":"amazon-science/ReFinED","url":"https://github.com/amazon-science/ReFinED"},{"title":"amazon-research/ReFinED","url":"https://github.com/amazon-research/ReFinED"},{"title":"alexa/refined","url":"https://github.com/alexa/refined"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/knowledge-base-question-answering-on-webqsp","task":"Knowledge Base Question Answering","dataset_variant":"WebQSP-WD","rows":1,"metrics":["Avg F1"],"first_row_in_archive_order":{"model":"GGNN","paper":"/paper/modeling-semantics-with-gated-graph-neural","metrics":{"Avg F1":"0.2588"},"code_links":[{"title":"UKPLab/coling2018-graph-neural-networks-question-answering","url":"https://github.com/UKPLab/coling2018-graph-neural-networks-question-answering"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/knowledge-base-question-answering-on-webqsp-1","task":"Knowledge Base Question Answering","dataset_variant":"WebQSP","rows":1,"metrics":["EM"],"first_row_in_archive_order":{"model":"PoG-GPT4 (Tan et al., 2024)","paper":"/paper/paths-over-graph-knowledge-graph-enpowered","metrics":{"EM":"96.7"},"code_links":[{"title":"SteveTANTAN/PoG","url":"https://github.com/SteveTANTAN/PoG"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/paths-over-graph-knowledge-graph-enpowered","title":"Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning","date":"2024-10-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":1,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/refined-an-efficient-zero-shot-capable-1","title":"ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking","date":"2022-07-08","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/modeling-semantics-with-gated-graph-neural","title":"Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering","date":"2018-08-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mixing-context-granularities-for-improved","title":"Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories","date":"2018-04-23","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":12,"samples_ran":1,"samples_unverified":11,"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."}