[PDF] Wiki-40B: Multilingual Language Model Dataset





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A Cross-Lingual Dictionary for English Wikipedia Concepts

WordNet: A lexical database for En- glish. Communications of the ACM 38. D. Milne and I. H. Witten. 2008. Learning to link with. Wikipedia. In CIKM.



A Novel Wikipedia based Dataset for Monolingual and Cross

Nov 10 2021 The Wikipedia dataset consists of English and. German articles



WikiHist.html: English Wikipedias Full Revision History in HTML

Data and code are publicly available at https://doi.org/10.5281/zenodo.3605388. 1 Introduction. Wikipedia constitutes a dataset of primary importance for.



WikiLinkGraphs: A Complete Longitudinal and Multi-Language

Apr 4 2019 present a complete dataset of the network of internal Wiki- ... English Wikipedia



WIT: Wikipedia-based Image Text Dataset for Multimodal

Mar 3 2021 datasets is the number of languages covered. By transitioning from. English-only to highly multilingual language datasets







A graph-structured dataset for Wikipedia research

Mar 20 2019 the temporal evolution of Wikipedia hyperlinks graph. Bellomi and Bonato conducted a study [3] of macro-structure of English. Wikipedia network ...



Text Segmentation as a Supervised Learning Task

Mar 25 2018 For this work we have created a new dataset



Citation Detective: a Public Dataset to Improve and Quantify

To fill this gap we present Citation Detective

2452VocabLanguagedev test

sizecode# SPM tokens # characters bpc# SPM tokens # characters bpc

128kar7,995,449 23,500,808 1.4907,967,704 23,310,912 1.488

bg3,582,487 12,016,269 1.1413,550,987 11,913,832 1.140 ca9,509,073 35,192,575 0.9779,834,353 36,366,223 0.979 cs7,723,026 27,299,019 1.2187,650,785 27,061,923 1.220 da2,923,938 11,299,708 1.1793,021,614 11,676,182 1.182 de57,092,340 234,000,586 0.92557,093,429 233,811,691 0.923 el4,531,987 14,843,833 1.0984,646,593 15,190,485 1.110 en123,035,697 494,743,191 0.975121,851,443 489,931,919 0.975 es33,023,795 130,522,477 0.97933,625,843 132,819,185 0.980 et2,339,336 8,275,733 1.3582,261,849 8,078,735 1.353 fa4,178,457 12,866,631 1.3844,310,721 13,288,734 1.394 fi6,342,948 24,457,478 1.1316,376,257 24,590,021 1.136 fr43,706,988 161,251,396 0.95143,474,952 160,399,436 0.952 he8,509,397 24,870,599 1.4928,625,416 25,208,735 1.492 hi1,956,262 5,671,760 1.4751,959,353 5,670,195 1.481 hr3,078,872 11,042,019 1.2493,037,053 10,917,511 1.251 hu7,866,214 27,402,731 1.2358,073,247 28,164,651 1.232 id3,438,411 15,048,875 1.0773,672,901 16,128,722 1.076 it24,636,227 96,685,062 0.99624,344,353 95,566,570 0.995 ja25,291,638 38,505,964 2.70925,371,338 38,591,027 2.705 ko5,588,291 9,333,927 2.5615,549,816 9,256,659 2.537 lt1,723,908 6,157,214 1.3061,736,306 6,203,086 1.297 lv953,995 3,511,594 1.3151,003,184 3,668,947 1.318 ms1,463,675 6,385,620 1.0681,470,774 6,442,537 1.061 nl11,759,797 46,491,533 1.01911,275,929 44,579,412 1.018 no4,627,665 17,867,941 1.1484,503,170 17,421,505 1.152 pl13,146,023 47,676,997 1.04213,142,976 47,714,220 1.045 pt13,464,556 51,994,248 1.04713,445,759 51,962,617 1.047 ro3,776,677 13,570,445 1.1234,247,067 15,269,698 1.114 ru35,222,993 117,757,871 1.02235,013,541 117,061,332 1.022 sk1,965,747 6,762,384 1.2402,223,469 7,670,401 1.240 sl1,933,005 6,984,578 1.3011,990,581 7,196,041 1.300 sr5,450,390 16,515,617 1.2425,050,831 15,289,063 1.249 sv7,112,800 27,405,722 1.0967,036,956 27,072,949 1.099 th1,713,594 5,368,067 1.4091,866,275 5,818,713 1.400 tl343,044 1,279,276 1.400330,711 1,232,607 1.389 tr3,552,468 13,647,118 1.2083,520,978 13,530,147 1.212 uk14,170,617 45,625,835 1.10714,401,153 46,442,543 1.105 vi5,272,687 18,623,431 1.1535,164,711 18,220,009 1.159 zh-cn13,536,010 17,019,128 3.51013,276,633 16,639,874 3.514 zh-tw13,679,748 17,287,915 3.50013,406,647 16,951,793 3.527 Table 9: Full Report on Multilingual Benchmark (128k vocabulary size)quotesdbs_dbs14.pdfusesText_20
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