Datasets › COCA
COCA (The Corpus of Contemporary American English)
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.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Co-Salient Object Detection | CoCA | GCoNet+ max E-measure 0.814 | GCoNet+: A Stronger Group Collaborative Co-Salient... | zhengpeng7/birefnet +2 | 10 | Compare |
Papers archive 2025-07-28
10 shown of 10 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 0. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- COCA
1 variant name, as the archive lists them.
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