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01dennlinger /wiki-paragraphs Dataset Card for wiki-paragraphs Dataset Summary The wiki-paragraphs dataset is constructed by automatically sampling two paragraphs from a Wikipedia article. If they are from the same section, they will be considered a "semantic match", otherwise as "dissimilar". Dissimilar paragraphs can in theory also be sampled from other documents, but have not shown any improvement in the particular evaluation of the linked work.The alignment is in no way meant as an accurate… See the full description on the dataset page: https://huggingface.co/datasets/dennlinger/wiki-paragraphs.texttext-classification10M<n<100M0 likes70 downloads4y agoHugging Face02dataesr /scientific-paragraphs-categorization A Multi-lingual Dataset of Classified Paragraphs from Open Access Scientific We present a dataset of 833k paragraphs extracted from CC-BY licensed scientific publications, classified into four categories: acknowledgments, data mentions, software/code mentions, and clinical trial mentions. The paragraphs are primarily in English and French, with additional European languages represented. Each paragraph is annotated with language identification (using fastText) and scientific domain… See the full description on the dataset page: https://huggingface.co/datasets/dataesr/scientific-paragraphs-categorization.texttext-classification100K<n<1M2 likes36 downloads1y agoHugging Face03GuillermoTBB /gp-long-paragraphstabular10M<n<100M1 likes28 downloads2y agoHugging Face04Brianverb /secrethackatondata_paragraphstabularn<1K0 likes15 downloads4y agoHugging Face05textminr /sotu-paragraphsThis is a dataset containing the United States Presidential State of the Union Addresses through 2020; derived from the sotu R package. textn<1K0 likes10 downloads3y agoHugging Face06MarineLives /Gavin_yiddish_raw_HTR_and_groundtruth_paragraphstextn<1K1 likes10 downloads2y agoHugging Face07PritiLohra /orca_paragraphstextn<1K0 likes6 downloads3y agoHugging Face08Saur13 /deduplicated_paragraphs_maintextn<1K0 likes4 downloads3y agoHugging Face

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