{"url":"/dataset/lc-quad-2-0","name":"LC-QuAD","full_name":"Largescale Complex Question Answering Dataset","description_markdown":"LC-QuAD is a Large Question Answering dataset with 30,000 pairs of questions and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version.","description_withheld":null,"homepage":"http://lc-quad.sda.tech","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Knowledge Base Question Answering","url":"/task/knowledge-base-question-answering","datasets_with_task":"/datasets/task/knowledge-base-question-answering"},{"name":"Relation Linking","url":"/task/relation-linking","datasets_with_task":"/datasets/task/relation-linking"}],"languages":[],"variants":["LC-QuAD","LC-QuAD 1.0"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/mohnish/lc_quad","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/lc_quad","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/knowledge-base-question-answering-on-lc-quad","task":"Knowledge Base Question Answering","dataset_variant":"LC-QuAD 1.0","rows":7,"metrics":["F1"],"first_row_in_archive_order":{"model":"HGNet (oracle entity used)","paper":"/paper/outlining-and-filling-hierarchical-query","metrics":{"F1":"78.1"},"code_links":[{"title":"bahuia/aqgnet","url":"https://github.com/bahuia/aqgnet"},{"title":"bahuia/hgnet","url":"https://github.com/bahuia/hgnet"}]},"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/question-decomposition-tree-for-answering","title":"Question Decomposition Tree for Answering Complex Questions over Knowledge Bases","date":"2023-06-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-universal-question-answering-platform-for","title":"A Universal Question-Answering Platform for Knowledge Graphs","date":"2023-03-01","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/outlining-and-filling-hierarchical-query","title":"Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs","date":"2021-11-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/edg-based-question-decomposition-for-complex","title":"EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases","date":"2021-10-24","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/formal-query-building-with-query-structure","title":"Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base","date":"2021-09-08","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+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."}