{"url":"/dataset/t2dv2","name":"T2Dv2","full_name":null,"description_markdown":"The T2Dv2 dataset consists of 779 tables originating from the English-language subset of the [WebTables](http://webdatacommons.org/webtables/) corpus. 237 tables are annotated for the Table Type Detection task, 236 for the Columns Property Annotation (CPA) task and 235 for the Row Annotation task. The annotations that are used are DBpedia types, properties and entities.\r\n\r\nA subset of this dataset was annotated by [Chen et al.](https://paperswithcode.com/paper/190600781) for the Column Type Annotation (CTA) task where they annotate 236 tables with DBpedia types. In the papers it was used the subset was divided into training and testing splits and the evaluation was done on the testing split T2D-Te. This subset is available for download at their official [Github](https://github.com/alan-turing-institute/SemAIDA) repository.\r\n\r\nSome characteristics for the different tasks are provided in the table below, where \"Annotations\" refers to the number of cells/rows/columns/tables annotated and \"Classes\" to the number of unique classes used for annotation.\r\n\r\n|                | Annotations | Classes |\r\n|----------------|---------|---------|\r\n| Column Property Annotation  |   670  |  119 |\r\n| Row Annotation |   26,106   | 13,975 |\r\n| Table Type     | 237 | 41 |\r\n| Column Type Annotation     | 411 | 37 |","description_withheld":null,"homepage":"http://webdatacommons.org/webtables/goldstandardV2.html","introduced_date":"2017-03-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/matching-web-tables-to-dbpedia-a-feature","title":"Matching web tables to DBpedia-A feature utility study","first_author":"Dominique Ritze","url":null},"license":{"name":"Apache-2.0","url":"https://www.apache.org/licenses/LICENSE-2.0"},"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":"Columns Property Annotation","url":"/task/columns-property-annotation","datasets_with_task":"/datasets/task/columns-property-annotation"},{"name":"Table Type Detection","url":"/task/table-type-detection","datasets_with_task":"/datasets/task/table-type-detection"},{"name":"Row Annotation","url":"/task/row-annotation","datasets_with_task":"/datasets/task/row-annotation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["T2Dv2"],"data_loaders":[],"num_papers_in_archive":14,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/column-type-annotation-on-t2dv2","task":"Column Type Annotation","dataset_variant":"T2Dv2","rows":3,"metrics":["Accuracy (%)","F1 (%)"],"first_row_in_archive_order":{"model":"HNN + P2Vec","paper":"/paper/190600781","metrics":{"Accuracy (%)":"96.6"},"code_links":[{"title":"alan-turing-institute/SemAIDA","url":"https://github.com/alan-turing-institute/SemAIDA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/columns-property-annotation-on-t2dv2","task":"Columns Property Annotation","dataset_variant":"T2Dv2","rows":1,"metrics":["F1 (%)"],"first_row_in_archive_order":{"model":"T2K","paper":"/paper/matching-web-tables-to-dbpedia-a-feature","metrics":{"F1 (%)":"81"},"code_links":[{"title":"T2KFramework/T2K","url":"https://github.com/T2KFramework/T2K"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/row-annotation-on-t2dv2","task":"Row Annotation","dataset_variant":"T2Dv2","rows":1,"metrics":["F1 (%)"],"first_row_in_archive_order":{"model":"T2K","paper":"/paper/matching-web-tables-to-dbpedia-a-feature","metrics":{"F1 (%)":"80"},"code_links":[{"title":"T2KFramework/T2K","url":"https://github.com/T2KFramework/T2K"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/table-type-detection-on-t2dv2","task":"Table Type Detection","dataset_variant":"T2Dv2","rows":1,"metrics":["F1 (%)"],"first_row_in_archive_order":{"model":"T2K","paper":"/paper/matching-web-tables-to-dbpedia-a-feature","metrics":{"F1 (%)":"92"},"code_links":[{"title":"T2KFramework/T2K","url":"https://github.com/T2KFramework/T2K"}]},"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":1,"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},{"paper":"/paper/colnet-embedding-the-semantics-of-web-tables","title":"ColNet: Embedding the Semantics of Web Tables for Column Type Prediction","date":"2018-11-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/matching-web-tables-to-dbpedia-a-feature","title":"Matching web tables to DBpedia-A feature utility study","date":"2017-03-01","rows_on_this_dataset":3,"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."}