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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.

Related Benchmarks

CoCA/16k/MAECoCA/16k/Mean F-measureCoCA/16k/S-measureCoCA/16k/max E-measureCoCA/16k/max F-measureCoCA/16k/mean E-measureCoCA/2D Classification/MAECoCA/2D Classification/Mean F-measureCoCA/2D Classification/S-measureCoCA/2D Classification/max E-measureCoCA/2D Classification/max F-measureCoCA/2D Classification/mean E-measureCoCA/2D Object Detection/MAECoCA/2D Object Detection/Mean F-measureCoCA/2D Object Detection/S-measureCoCA/2D Object Detection/max E-measureCoCA/2D Object Detection/max F-measureCoCA/2D Object Detection/mean E-measureCoCA/3D/MAECoCA/3D/Mean F-measureCoCA/3D/S-measureCoCA/3D/max E-measureCoCA/3D/max F-measureCoCA/3D/mean E-measureCoCA/Object Detection/MAECoCA/Object Detection/Mean F-measureCoCA/Object Detection/S-measureCoCA/Object Detection/max E-measureCoCA/Object Detection/max F-measureCoCA/Object Detection/mean E-measureCoCA/RGB Salient Object Detection/MAECoCA/RGB Salient Object Detection/Mean F-measureCoCA/RGB Salient Object Detection/S-measureCoCA/RGB Salient Object Detection/max E-measureCoCA/RGB Salient Object Detection/max F-measureCoCA/RGB Salient Object Detection/mean E-measureCoCA/Saliency Detection/MAECoCA/Saliency Detection/Mean F-measureCoCA/Saliency Detection/S-measureCoCA/Saliency Detection/max E-measureCoCA/Saliency Detection/max F-measureCoCA/Saliency Detection/mean E-measure

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