{"url":"/dataset/wikipediags","name":"WikipediaGS","full_name":null,"description_markdown":"The WikipediaGS dataset was created by extracting Wikipedia tables from Wikipedia pages. It consists of 485,096 tables which were annotated with DBpedia entities for the Cell Entity Annotation (CEA) task.\r\n\r\nAdditionally, a subset of these tables was annotated by [Chen et al.](https://paperswithcode.com/paper/190600781) for the Column Type Annotation (CTA) task and includes 604 tables, where selected columns were annotated using DBpedia types. This subset is available for download at their official [Github](https://github.com/alan-turing-institute/SemAIDA) repository.\r\n\r\nThe table below shows the number of annotated cells/columns for each task and the number of different classes used for the annotation.\r\n\r\n|     | Annotations | Classes   |\r\n|-----|-------------|-----------|\r\n| CEA | 4,453,329   | 1,222,358 |\r\n| CTA | 620         | 31        |","description_withheld":null,"homepage":"https://springernature.figshare.com/articles/dataset/Evaluating_Web_Table_Annotation_Methods_From_Entity_Lookups_to_Entity_Embeddings/5229847","introduced_date":"2017-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/matching-web-tables-with-knowledge-base","title":"Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings","first_author":"Vasilis Efthymiou","url":null},"license":null,"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Table annotation","url":"/task/table-annotation","datasets_with_task":"/datasets/task/table-annotation"},{"name":"Column Type Annotation","url":"/task/column-type-annotation","datasets_with_task":"/datasets/task/column-type-annotation"},{"name":"Cell Entity Annotation","url":"/task/cell-entity-annotation","datasets_with_task":"/datasets/task/cell-entity-annotation"}],"languages":[],"variants":["WikipediaGS","WikipediaGS-CTA"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/column-type-annotation-on-wikipediags-cta","task":"Column Type Annotation","dataset_variant":"WikipediaGS-CTA","rows":2,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"TURL","paper":"/paper/turl-table-understanding-through","metrics":{"Accuracy (%)":"74.6"},"code_links":[{"title":"sunlab-osu/TURL","url":"https://github.com/sunlab-osu/TURL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/cell-entity-annotation-on-wikipediags","task":"Cell Entity Annotation","dataset_variant":"WikipediaGS","rows":1,"metrics":["F1 (%)"],"first_row_in_archive_order":{"model":"TURL","paper":"/paper/turl-table-understanding-through","metrics":{"F1 (%)":"67"},"code_links":[{"title":"sunlab-osu/TURL","url":"https://github.com/sunlab-osu/TURL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/turl-table-understanding-through","title":"TURL: Table Understanding through Representation Learning","date":"2020-06-26","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/190600781","title":"Learning Semantic Annotations for Tabular Data","date":"2019-05-30","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":1,"samples_ran":1,"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."}