{"url":"/dataset/ctdar","name":"ICDAR 2019","full_name":"cTDaR","description_markdown":"Table is a compact and efficient form for summarizing and presenting correlative information in handwritten and printed archival documents, scientific journals, reports, financial statements and so on. Table recognition is fundamental for the extraction of information from structured documents. The ICDAR 2019 cTDaR evaluates two aspects of table analysis: table detection and recognition. The participating methods will be evaluated on a modern dataset and archival documents with printed and handwritten tables present.","description_withheld":null,"homepage":"https://cndplab-founder.github.io/cTDaR2019/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Table Detection","url":"/task/table-detection","datasets_with_task":"/datasets/task/table-detection"}],"languages":[],"variants":["ICDAR 2019"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/table-detection-on-ctdar","task":"Table Detection","dataset_variant":"ICDAR 2019","rows":2,"metrics":["Weighted Average F1-score"],"first_row_in_archive_order":{"model":"DiT-L (Cascade)","paper":"/paper/dit-self-supervised-pre-training-for-document","metrics":{"Weighted Average F1-score":"96.55"},"code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"microsoft/unilm","url":"https://github.com/microsoft/unilm/tree/master/dit"},{"title":"thibaultvt/Diard","url":"https://github.com/thibaultvt/Diard"},{"title":"MindCode-4/code-3","url":"https://github.com/MindCode-4/code-3/tree/main/deit"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dit-self-supervised-pre-training-for-document","title":"DiT: Self-supervised Pre-training for Document Image Transformer","date":"2022-03-04","rows_on_this_dataset":2,"code_links":4,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":11,"samples_ran":9,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":11,"samples_ran":9,"samples_unverified":2,"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."}