{"url":"/dataset/coca-1","name":"COCA","full_name":"The Corpus of Contemporary American English","description_markdown":"The Corpus of Contemporary American English (COCA) is a large and balanced corpus of American English. It contains more than one billion words of text (25+ million words each year from 1990 to 2019) from eight genres: spoken, fiction, popular magazines, newspapers, academic texts, TV and Movie subtitles, blogs, and other web pages. COCA is probably the most widely-used corpus of English and it offers unparalleled insight into variation in English.","description_withheld":null,"homepage":"https://www.english-corpora.org/coca/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["COCA"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/co-salient-object-detection-on-coca","task":"Co-Salient Object Detection","dataset_variant":"CoCA","rows":10,"metrics":["max E-measure","S-measure","max F-measure","MAE","mean E-measure","Mean F-measure"],"first_row_in_archive_order":{"model":"GCoNet+","paper":"/paper/gconet-a-stronger-group-collaborative-co","metrics":{"MAE":"0.081","Mean F-measure":"0.612","S-measure":"0.738","max E-measure":"0.814","max F-measure":"0.637","mean E-measure":"0.783"},"code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"},{"title":"zhengpeng7/gconet_plus","url":"https://github.com/zhengpeng7/gconet_plus"},{"title":"zhengpeng7/cosod_fps_collection","url":"https://github.com/zhengpeng7/cosod_fps_collection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/discriminative-co-saliency-and-background","title":"Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection","date":"2023-04-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gconet-a-stronger-group-collaborative-co","title":"GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector","date":"2022-05-30","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/democracy-does-matter-comprehensive-feature","title":"Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection","date":"2022-03-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-unified-transformer-framework-for-group","title":"A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection","date":"2022-03-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":0,"samples_unverified":13,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/summarize-and-search-learning-consensus-aware","title":"Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection","date":"2021-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":5,"samples_unverified":5,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/group-collaborative-learning-for-co-salient","title":"Group Collaborative Learning for Co-Salient Object Detection","date":"2021-03-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/re-thinking-co-salient-object-detection","title":"Re-thinking Co-Salient Object Detection","date":"2020-07-07","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/gradient-induced-co-saliency-detection","title":"Gradient-Induced Co-Saliency Detection","date":"2020-04-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/egnet-edge-guidance-network-for-salient","title":"EGNet: Edge Guidance Network for Salient Object Detection","date":"2019-10-01","rows_on_this_dataset":1,"code_links":7,"syntology":null},{"paper":"/paper/co-saliency-detection-via-mask-guided-fully","title":"Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing","date":"2019-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":24,"samples_ran":5,"samples_unverified":19,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":2,"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."}