README.md

metadata

license: odc-by
task_categories:
  - text-generation
size_categories:
  - n>1T

MADLAD-400

Dataset and Introduction

MADLAD-400 (Multilingual Audited Dataset: Low-resource And Document-level) is a document-level multilingual dataset based on Common Crawl, covering 419 languages in total. This uses all snapshots of CommonCrawl available as of August 1, 2022. The primary advantage of this dataset over similar datasets is that it is more multilingual (419 languages), it is audited and more highly filtered, and it is document-level. The main disadvantage is also its strength -- being more filtered, it may lack the recall needed for some applications.

There are two versions released: the noisy dataset, which has no filtering except document-level LangID, and the clean dataset, which has a variety of filters applied, though it naturally has a fair amount of noise itself. Each dataset is released in a document-level form that has been deduplicated.

Loading

You can load both the clean and noisy versions of any language by specifing its LangID:

madlad_abt = load_dataset("allenai/madlad-400", "abt")

A list of langagues can also be supplied with a keyword argument:

madlad_multilang = load_dataset("allenai/madlad-400", languages=["abt", "ace"])

Additionally, you can load the noisy and clean subsets seperately with the split keyword argument:

madlad_multilang_clean = load_dataset("allenai/madlad-400", languages=["abt", "ace"], split="clean")

LangID model and Crawl

Following Language Id In the Wild, we trained a Semi-Supervised LangId model (SSLID) on 500 languages. The training data is as described in that paper, with the differences that 1) training data is sampled to a temperature of T=3 to reduce over-triggering on low-resource languages; and 2) the data is supplemented with web-crawled data from the same paper (that has already been through the various filters described therein) in the hopes that it will increase robustness to web-domain text.

Filtering

Before separating the raw CommonCrawl corpus by LangID, these filtering steps are done, similar to Raffel et al (2020):

• Discarded any page with fewer than 5 sentences and only retained lines that contained at least 3 words.
• Removed any line with the word Javascript.
• Removed any page where the phrase “lorem ipsum” appeared.
• Removed any pages containing the phrases "terms of use", "privacy policy", "cookie policy", "uses cookies", "use of cookies", "use cookies"
• Removed any pages that contained a curly bracket.
• To deduplicate the data set, discarded all but one of any three-sentence span occurring more than once in the data set.

The noisy subset of the data was filtered only by document-level LangID, which was taken to be the majority sentence-level LangID prediction. The clean subset removed all documents with a percent_questionable score greater than 20%. It furthermore removed any document with under 5 sentences.

The pct_questionable score is simple the percentage of sentences in the input document that were "questionable". A sentence was considered questionable if any of the following were true:

• LangID Consistency: the sentence-level LangID does not match the document-level LangID
• List Case: The sentence has at least 12 tokens, and over 50% percent of the tokens began in a capital letter.
• Length: The sentence has under 20 characters or over 500 characters (note: this is a bad heuristic for ideographic languages)
• Danger Chars: Over 20% of the characters in the sentence match [0-9{}+/()>]
• Cursedness: The sentence matches a cursed regex (see below)

Cursed Substrings

Based on the initial round of data audits, the authors created a heuristic list of substrings and regexes accounting for a large amount of questionable content. Keep in mind that these all are fed into the pct_questionable score -- a sentence is only excluded from the clean dataset if over 20% of the sentences in that document are flagged as questionable.

notes about cursed substrings:

• low quality sentences ending in the pipe character were very common. Before you ask, this was not Devanagari-script text using a Danda.
• The last few regexes are meant to match A N T S P E A K, List Case, and weirdly regular text (for instance, lists of shipping labels or country codes)

# this implementation is for demonstration and is pretty inefficient;
# to speed it up, use string inclusion (`in`) instead of regex for all but the
# last four, and for those use a compiled regex.
def is_cursed(s):
  return any(re.findall(curse, s) in s for curse in CURSED_SUBSTRINGS)

CURSED_SUBSTRINGS = [" №", "���", "\\|\\s*$", " nr\\.$", "aute irure dolor ", " sunt in culpa qui ", "orem ipsum ", " quis nostrud ", " adipisicing ", " dolore eu ", " cupidatat ", "autem vel eum", "wisi enim ad", " sex ", " porn ", "黄色电影", "mp3", "ownload", "Vol\\.", " Ep\\.", "Episode", " г\\.\\s*$", " кг\\.\\s*$", " шт\\.", "Develop", "Facebook", " crusher ", " xxx ", " ... ... ... ... ... ... ... ... ...", " .... .... .... .... .... .... .... .... ....", " [^ ] [^ ] [^ ] [^ ] [^ ] [^ ] [^ ] [^ ] [^ ]", ", ..,,? ..,,? ..,,? ..,,?"]

Virama Correction

Many languages using Brahmic Abugida (South and Southeast Asian scripts like Devanagari, Khmer, etc.) use some variant on the virama character. For whatever reason, it was found that this character was often messed up in the common crawl snapshots used. Therefore, for the languages bn my pa gu or ta te kn ml si th tl mn lo bo km hi mr ne gom as jv dv bho dz hne ks_Deva mag mni shn yue zh ja kjg mnw ksw rki mtr mwr xnr, a special correction step was done.

For these languages, the authors took the list of all virama characters and removed all unnecessary spaces between each instance of a virama character and the next character with a regex.

'%s' % regex.sub(r' ([%s]) ' % _VIRAMA_CHARS, '\\1', x)

Myanmar Font Compatibility

Prior to 2019, the most popular font for Burmese websites was the Zawgyi font. The authors used Myanmar Tools to convert text.

Several scripts, like the Chinese script, Tibetan script, and Thai, do not use whitespace to separate characters. The languages with this property in this dataset are yue zh ja th lo kjg mnw my shn ksw rki km bo dz.

Alas, the Length aspect of the pct_questionable score was calculated using simplistic whitespace tokenization, and therefore rendered the whole pct_questionable score invalid for those languages. Therefore, for these languages, the "clean" data is identical to the "noisy" data (barring Chinese; see below.)

Special filters

Chinese had a particular issue with pornographic content. After manual inspection a list of strings likely to be present in pornographic content was developed. All pages containing at least one of these strings were removed. Resulted in 17% reduction in number of documents and 56% reduction in file size.

pornsignals = "caoporn caoprom caopron caoporen caoponrn caoponav caopom caoorn 99re dy888 caopro hezyo re99 4438x zooskool xfplay 7tav xxoo xoxo 52av freexx 91chinese anquye cao97 538porm 87fuli 91pron 91porn 26uuu 4438x 182tv kk4444 777me ae86 91av 720lu yy6080 6080yy qqchub paa97 aiai777 yy4480 videossexo 91free 一级特黄大片 偷拍久久国产视频 日本毛片免费视频观看 久久免费热在线精品 高清毛片在线看 日本毛片高清免费视频 一级黄色录像影片 亚洲男人天堂 久久精品视频在线看 自拍区偷拍亚洲视频 亚洲人成视频在线播放 色姑娘综合站 丁香五月啪啪 在线视频成人社区 亚洲人成视频在线播放 久久国产自偷拍 一本道 大香蕉无码 香港经典三级 亚洲成在人线免费视频 天天色综合网 大香蕉伊人久草 欧美一级高清片 天天鲁夜夜啪视频在线 免费黄片视频在线观看 加比勒久久综合 久草热久草在线视频 韩国三级片大全在线观看 青青草在线视频 美国一级毛片 久草在线福利资源 啪啪啪视频在线观看免费 成人福利视频在线观看 婷婷我去也 老司机在线国产 久久成人视频 手机看片福利永久国产 高清国产偷拍在线 大香蕉在线影院 日本高清免费一本视频 男人的天堂东京热 影音先锋男人资源 五月婷婷开心中文字幕 亚洲香蕉视频在线播放 天天啪久久爱视频精品 超碰久久人人摸人人搞".split()

A few more random notes, comparing to common alternative codes for these languages:

• fil for Filipino/Tagalog, not tl
• ak for Twi/Akan, rather than tw. This includes Fante.
• Unfortunately use the macro code chm for Meadow Mari (instead of the correct mhr), and mrj for Hill Mari
• no for Norwegian Bokmål, whereas some resources use nb
• ps for Pashto instead of pbt (Southern Pashto)
• ms for Standard Malay, not zlm
• sq for Albanian, and don't distinguish dialects like Gheg (aln) and Tosk (als)
• ber as the code for Tamazight, after consultation with Tamazight speakers opining that the dialect distinctions are not significant. Other resources use the individual codes like tzm and kab.
• Macrocode qu for Quechua. In practice, this seems usually to be a mix of the Ayacucho and Cusco dialects. Other resources, like NLLB, may use the dialect code, e.g. quy for Ayacucho Chanka. The same is true for a few other macro codes, like ff (Macro code for Fulfulde, whereas other sources may use e.g. fuv.)
• Really, there are notes that can be made about almost any code, from the well-accepted conventions like zh for Mandarin, to many dialectical notes, like which variant of Hmong really is the hmn data? But the above ones are made specifically for ones where the authors are aware of other datasources floating out there that use different conventions.

Audit

Following Quality at a Glance, the authors performed an "audit" of every corpus in this dataset. Although the authors did not speak most languages, they were able to give high-level comments on the general quality. They looked at a sample of 20 documents of each language.

After an initial round of auditing, they devised a new set of filters and applied them. They then re-did all audits.

Overall notes from the audit

The decision was to include languages that looked noisy, but omit any language that was clearly majority noise, or only had 20 or fewer docs. This is a low bar -- twenty documents can be very little indeed, and some of the corpora released are quite noisy, but all of them should have at least the potential to be used in some useful way. The motivation for not releasing nonsense or tiny datasets is to not give a false sense of how multilingual this dataset actually is ("Representation washing"), as recommended by Quality at a Glance.

A few overarching points:

• Many low-resource languages only had Bible text, or in some cases jw.org data. These are marked in the rows below. Generally ok bible means that 100% of the audited sentences were Biblical, whereas if bible is simply mentioned in the note, it was not the only source of data.
• Indian languages in the Latin script had a high concentration of pornographic content.

Renames and Merges as a result of the Audit

In several cases, it was clear from the audit that the corpora were not in the languages that the LangID model claimed they were. This led to the following renames:

• dty renamed to zxx-xx-dtynoise, aka a "language" of noise. This is mainly mis-rendered PDFs and may have some practical applications for decoding said.
• fan renamed to bum
• ss-SZ renamed to ss -- this was just a result of us having inconsistent data labels.
• cjk merged into the gil dataset
• bjj merged into the awa dataset

Canaries

Canaries are provided in separate canaries folder. Canaries are organized into three directions: monolingual hosts canaries designed for the MADLAD-400 monody data, multiway for the multiway data, and generic the generic canaries generated only from the model's vocabulary.

• Monolingual: Canaries here are organized by the language the canary was generated from. This corresponds exactly to the translate_copy setting in the paper, where the source and target language match.

• Multiway: Canaries here are organized in one of two fashions. to_XX indicates canaries organized by the target language (and where the source language could be any language). XX-XX indicates the canaries (interleaved_both and interleaved_mislabeled_both) designed for a specific pair of languages.

Within each subdirectory above, canaries are into separate files named by the canary type. There is always only a single file for each canary type. The generic folder contains within it the four canary types.

Canaries can be mixed in with normal training data to then be analyzed post-hoc to training

References

Raffel, Colin, et al. "Exploring the limits of transfer learning with a unified text-to-text transformer." J. Mach. Learn. Res. 21.140 (2020): 1-67.

Contact

Please reach out to {snehakudugunta, icaswell}꩜google.com. For questions about the canaries, reach out to cchoquette@google.com

License

This data is released with the CC-BY-4.0 license.

Detailed notes from the audit

Here are the notes on all languages, along with the number of documents found, and the final decision made with respect to including the language in this dataset.

Lang.	note	N	decision
en	ok	1838712272	keep
ru	ok	402458746	keep
es	good	250906994	keep
de	ok	225111495	keep
fr	ok	218863911	keep
it	ok	126406256	keep
pt	ok	124207090	keep
pl	ok	90908786	keep
nl	ok	86594116	keep
tr	ok	56417359	keep
vi	ok	54988654	keep
cs	ok	38254671	keep
id	ok	37979244	keep
ro	ok	35397563	keep
sv	ok. Also the last	35153050	keep
: : language (suz) is "ok : : :
: : bible" : : :
hu	ok	29677075	keep
uk	ok	24968305	keep
fa	idk ask a farsi speaker;	23138888	keep
: : ALI: OK : : :
ja	ok a little en mixed in	21818123	keep
el	ok	20932239	keep
fi	ok	20433664	keep
da	ok	17865888	keep
th	ok	17439979	keep
no	ok	14864710	keep
bg	ok	12755329	keep
ko	ok	12653878	keep
ar	good	12411641	keep
sk	ok	11857945	keep
ca	ok	9477390	keep
lt	ok	8748025	keep
iw	ok	7194574	keep
sl	ok	6310419	keep
et	ok	5542933	keep
lv	ok	5007982	keep
hi	ok some porn	4512205	keep
sq	good	3622957	keep
az	good	3256331	keep
hr	ok	2841400	keep
ta	ok	2594191	keep
ms	ok	2337672	keep
ml	ok	2072605	keep
sr	ok	2010607	keep
kk	ok	1810963	keep
te	ok a lot of weirdly low	1682441	keep
: : quality looking content : : :
: : like commerce : : :
mr	ok fix virama	1673848	keep
is	ok	1560913	keep
bs	good	1362582	keep
mk	ok	1358293	keep
gl	ok	1253170	keep
eu	ok	1155671	keep
bn	ok	1138848	keep
be	ok	1092785	keep
ka	ok	936497	keep
fil	ok more bible than	901507	keep
: : expected for such a : : :
: : major language : : :
mn	ok mongolian cyrillic	879878	keep
af	good	868671	keep
uz	ok some cyrllic noise	669909	keep
gu	ok	659727	keep
kn	ok	657846	keep
kaa	ok cyrllic	586361	keep
sw	ok	537847	keep
ur	ok	467236	keep
ne	ok	453349	keep
cy	ok; was terrible before	430719	keep
: : filtering short docs : : :
hy	ok	397523	keep
ky	ok	367577	keep
si	good	349220	keep
tt	good plus some	346927	keep
: : nonunicode misrendered : : :
: : PDF : : :
tg	good	328194	keep
la	ok some broken chars	319178	keep
so	good	293218	keep
ga	ok some en noise	285999	keep
km	ook	285740	keep
mt	ok	265388	keep
eo	ok; likely a lot of Mt	259971	keep
ps	ok	252888	keep
rw	ok	226466	keep
ku	ok	218850	keep
lo	ok many entities in	215982	keep
: : latin script : : :
fy	ok plausible but i bet	210025	keep
: : there is a lot of nl in : : :
: : there : : :
ha	ok	173485	keep
my	filter noise and en fix	172401	keep
: : virama : : :
dv	good	167179	keep
pa	ok	150588	keep
ckb	ok	148870	keep
lb	ok	145988	keep
mg	ok some bible jw	115387	keep
ht	ok	110443	keep
ug	ok	106549	keep
am	good	106301	keep
or	ok	100530	keep
fo	good	97754	keep
gd	ok	94275	keep
ba	ok	90318	keep
tk	ok; a few weird docs	82495	keep
mi	ok	79509	keep
hmn	ok	75213	keep
grc	ok some bible	70730	keep
jv	ok	69473	keep
ceb	ok	66164	keep
sd	good	65858	keep
yi	ok	64949	keep
kaa-Latn	ok urls are .ru or .kz	61169	keep
sn	ok	60196	keep
co	ok;l i suspect lots of	55387	keep
: : MT : : :
su	good	54968	keep
pap	ok	54498	keep
ig	ok	54410	keep
zu	good	53809	keep
xh	ok	53672	keep
sm	ok	52614	keep
ny	ok	52244	keep
yo	ok	52067	keep
cv	good	47318	keep
el-Latn	good; a lot of old	46428	keep
: : content! : : :
kl	ok	46027	keep
haw	ok scam tv products	45670	keep
gsw	wtf is happening here;	42712	keep
: : keep with disclaimer; : : :
: : STILL BOILERPLATE : : :
tet	good ; actually a lot of	40367	keep
: : fun data! : : :
st	ok	40360	keep
lus	ok	36437	keep
oc	ok	36379	keep
as	good	33825	keep
rm	ok	33805	keep
br	ok after shortfilter	33219	keep
sah	ok	29169	keep
hi-Latn	filter porn this is half	26723	keep
: : porn : : :
se	good	23872	keep
cnh	good, some local news!	21556	keep
: : not sure if WL : : :
om	ok	18895	keep
ce	ok	14968	keep
udm	ok	13376	keep
lg	ok lot of	13030	keep
: : www.bukedde.co.ug in : : :
: : this : : :
os	ok	12623	keep
nv	ok	12578	keep
kha	ok	12070	keep
ilo	ok some bible	11754	keep
ctd-Latn	ok; from some local	11629	keep
: : news? : : :
vec	very noisy has wiki from	11108	keep
: : other langs and .it : : :
: : websites so not sure if : : :
: : vec : : :
hil	ok some en boilerplate	10564	keep
tyv	ok fun stuff plus some	9083	keep
: : russian noise i think : : :
iba	ok jw data	7638	keep
ru-Latn	ok	7523	keep
kbd	ok many .ru	7486	keep
ti	ok; poor tigray	7288	keep
sa	ok	7117	keep
av	good	6331	keep
bo	needs some serious	6226	keep
: : script filtering. but : : :
: : there is some ok data in : : :
: : there. : : :
zza	good	6019	keep
ber-Latn	ok	5612	keep
otq	ok	5554	keep
te-Latn	great good text....but	5305	keep
: : mostly pornographic : : :
bua	ok	5264	keep
ts	good	5198	keep
cfm	ok mostly from	4858	keep
: : chinland.co : : :
tn	good	4821	keep
krc	ok	4815	keep
ak	good; much but not all	4768	keep
: : bible : : :
meo	ok mostly blogs	4655	keep
chm	ok; fyi watch out for	4653	keep
: : yandex translationese : : :
to	good ; news bible	4612	keep
: : government : : :
ee	good; mostly religious	4536	keep
nso	ok	4422	keep
ady	good	4206	keep
rom	bible	4187	keep
bho	mostly from anjoria.com.	4121	keep
: : Looks like valid : : :
: : Bhojpuri. : : :
ltg	ok mostly www.lakuga.lv	4120	keep
fj	ok	3976	keep
yua	ok	3965	keep
gn	ok some broken	3858	keep
: : characters some bible : : :
az-RU	good; a lot of JW	3781	keep
ln	ok bible jw	3325	keep
ada	good; bible; likely	3095	keep
: : mixed with gaa : : :
myv	maybe has .ru urls	3095	keep
bik	ok. keep in mind the bik	3092	keep
: : vs bcl issue. : : :
tlh	ok, but why tf are there	3054	keep
: : websites inklingon? all : : :
: : MT ? : : :
kbp	not sure if right script	3036	keep
: : wiki says latin : : :
war	ok but v sus. Pls filter	2928	keep
: : out wikipedia : : :
wa	ok lots of wiki stuff	2772	keep
bew	mostly blogs. idk if	2677	keep
: : standard Indonesian or : : :
: : not : : :
rcf	ok	2630	keep
ta-Latn	good text .... but	2580	keep
: : pornographic : : :
kac	ok	2567	keep
iu	filter script some is en	2537	keep
: : rest is iu script : : :
ay	good; mix of bible and	2505	keep
: : other news sources : : :
kum	ok	2495	keep
qu	ok	2449	keep
bgp	almost all ur-Latn.	2427	keep
: : consider removing or : : :
: : renaming : : :
hif	ok some en noise and	2358	keep
: : religious : : :
kw	ok short boilerplate	2324	keep
: : bible wiki; ok some porn : : :
nan-Latn-TW	ok	2285	keep
srn	ok bible + jw	2281	keep
tly-IR	deeply sus	2239	keep
sg	ok jw	2106	keep
gom	ok	2102	keep
ml-Latn	ok some short docs	2071	keep
kj	ok	2062	keep
ksd	ok bible	2000	keep
dz	ok; hidden parallel	1899	keep
: : text; maybe actually bo; : : :
: : mainly buddhist : : :
kv	ok a lil boilerplate	1878	keep
: : vibes : : :
msi	ok	1870	keep
ve	ok mostly bible jw	1866	keep
zap	ok JW.	1803	keep
zxx-xx-dtynoise	BEAUTIFUL NOISE rename	1765	keep
: : but keep as beautiful : : :
: : xample. (was called : : :
: : "dty") : : :
meu	ok bible	1728	keep
iso	ok jw	1721	keep
ium	filter out zh	1721	keep
nhe	ok	1714	keep
tyz	ok bible bu again i	1707	keep
: : think some mixeed : : :
: : dialects : : :
hui	ok some bible	1680	keep
new	ok	1634	keep
mdf	ok some short docs	1609	keep
pag	bible	1588	keep
gv	filter short repetitive	1586	keep
: : sentences; still same : : :
: : but keep : : :
gag	has 1-2 cyrillic	1572	keep
: : examples with small amts : : :
: : of arabic script noise : : :
ngu	ok	1534	keep
quc	bible	1526	keep
mam	ok bible jw	1513	keep
min	ok mostly wiki and bible	1474	keep
ho	ok	1466	keep
pon	bible	1462	keep
mrj	ok	1447	keep
lu	ok jw	1444	keep
gom-Latn	ok very noisy ; some ok	1432	keep
: : stuff ; release with : : :
: : disclaimer : : :
alt	ok	1422	keep
nzi	ok	1371	keep
tzo	ok bible + jw	1357	keep
bci	ok bible	1329	keep
dtp	ok; mostly from	1309	keep
: : www.newsabahtimes.com.my : : :
abt	fine; bible	1305	keep
bbc	ok	1274	keep
pck	ok	1255	keep
mai	ok mild amounts of en	1240	keep
: : noise : : :
mps	ok bible	1239	keep
emp	ok bible	1238	keep
mgh	ok bible jw	1222	keep
tab	idk plausibly ok	1202	keep
crh	ok	1184	keep
tbz	good mostly bible but	1126	keep
: : not all : : :
ss	good mix of data ;	1089	keep
: : renamed from "ss" : : :
chk	ok bible	1082	keep
bru	ok; bible	1072	keep
nnb	ok	1071	keep
fon	ok mostly jw but not all	1065	keep
ppk	bible	1063	keep
tiv	ok jw	1063	keep
btx	ok probably	1009	keep
bg-Latn	ok	991	keep
mbt	ok bible	969	keep
ace	good; bible	966	keep
tvl	ok jw	933	keep
dov	ok bible + jw	923	keep
ach	good; bible	915	keep
xal	ok has .ru sites though	913	keep
cuk	ok bible	899	keep
kos	ok lds bible	881	keep
crs	ok	873	keep
wo	ok; mostly bible.	871	keep
bts	ok; mostly bible	869	keep
ubu	ok bible	846	keep
gym	ok biblle	820	keep
ibb	ok bible and repeated @	818	keep
ape	good; bible	814	keep
stq	ok i think ?	809	keep
ang	much noise but some good	803	keep
: : Old English in there! : : :
enq	ok bible	793	keep
tsg	much noise but somegood	789	keep
: : data too! : : :
shn	mostly English	788	keep
: : boilerplate. filter by : : :
: : latin text before : : :
: : releasing : : :
kri	ok boilerplate noise	786	keep
: : bible jw : : :
kek	ok jw bible	782	keep
rmc	ok	738	keep
acf	good; bible	730	keep
syr	good; practictitioners	716	keep
: : should keep dialect in : : :
: : mind. : : :
qub	bible	705	keep
bm	good	702	keep
tzh	ok jw	702	keep
jiv	ok bible	696	keep
kn-Latn	filter en noise of	688	keep
: : karnatake govt websites : : :
kjh	ok .ru domain	672	keep
yap	ok	638	keep
ban	ok bible	637	keep
tuc	ok bible	635	keep
tcy	good; mostly wikipedia;	632	keep
: : likely some konkani : : :
: : mixed in : : :
cab	ok jw	629	keep
cak	ok bible	617	keep
din	ok after SD filter	611	keep
arn	good; bible	593	keep
lrc	ok	587	keep
gil	empty; but merged in	586	keep
: : data in "cjk" : : :
gil	this is all in gil	586	keep
: : (Kiribati). merged into : : :
: : "gil" : : :
rwo	bible	572	keep
hus	ok bible	569	keep
bum	ok bible; but wrong	559	keep
: : language. Data is in : : :
: : Bulu, not Fang : : :
mak	ok bible	555	keep
frp	fair amount from	550	keep
: : wikipedia. : : :
seh	ok jw	545	keep
twu	ok bible, but also i	539	keep
: : think it's lots of mixed : : :
: : similar dialects : : :
kmb	ok bible jw	538	keep
ksw	ok bible	536	keep
sja	ok bibe	527	keep
amu	good; bible; crazy	511	keep
: : diacritics : : :
mad	remove mostly short text	509	keep
quh	bible	501	keep
dyu	ok bible	483	keep
toj	ok jw	452	keep
ch	ok; not sure about WL	449	keep
sus	hella sus jk ok bible	437	keep
nog	ok	419	keep
jam	ok bible	416	keep
gui	ok bible	409	keep
nia	ok	408	keep
mas	ok some amount of bible	405	keep
bzj	ok bible	404	keep
mkn	ok bible	402	keep
lhu	ok bible	377	keep
ctu	ok bible	366	keep
kg	ok bible jw	365	keep
inb	ok bible	343	keep
guh	ok bible	331	keep
rn	bible	323	keep
bus	ok; bible; about 50bzc	322	keep
mfe	ok mostly bible maybe	320	keep
: : some french creole short : : :
: : doc noise : : :
sda	ok bible	317	keep
bi	good! fun!	311	keep
cr-Latn	noise and lorem ipsom.	303	keep
: : But some ok Cree text. : : :
gor	ok bible	303	keep
jac	ok bible	303	keep
chr	ok bible	301	keep
mh	ok jw lds	296	keep
mni	ok	290	keep
wal	ok bible + jw	286	keep
teo	ok bible	274	keep
gub	ok bible	271	keep
qvi	bible	266	keep
tdx	ok jw	262	keep
rki	ok	251	keep
djk	ok; bible+jw	246	keep
nr	ok	246	keep
zne	ok jw	239	keep
izz	ok bible	237	keep
noa	ok	234	keep
bqc	ok; bible	228	keep
srm	ok; bible + jw	227	keep
niq	ok	226	keep
bas	ok; has some fun blog	216	keep
: : stuff! : : :
dwr	ok; bible; mixed script	215	keep
guc	ok bible	214	keep
jvn	ok bible	213	keep
hvn	ok religioous text	200	keep
sxn	ok bible ; also wild	197	keep
: : diacritics : : :
koi	ok	196	keep
alz	good; bible	195	keep
nyu	ok	195	keep
bn-Latn	ok	191	keep
suz		186	keep
pau	ok	185	keep
nij	ok	183	keep
sat-Latn	good! al from local news	183	keep
: : sources : : :
gu-Latn	filter short en	179	keep
: : boilerplate and : : :
: : repetitive sentences : : :
msm	ok bible	177	keep
maz	ok bible jw	170	keep
qxr	bible	153	keep
shp	ok bible	150	keep
hne	ok	146	keep
ktu	ok bible jw	144	keep
laj	ok bible	144	keep
pis	bible	139	keep
mag	ok fix virama issue	138	keep
gbm	ok	137	keep
tzj	ok bible	136	keep
oj	ok	135	keep
ndc-ZW	ok	132	keep
tks	ok bible bu again i	127	keep
: : think some mixeed : : :
: : dialects : : :
gvl	filter short boilerplate	126	keep
: : mostly bible : : :
knj	ok bible	126	keep
awa	all bible in awadhi	126	keep
: : (awa). Renamed from bjj : : :
spp	ok bible	123	keep
mqy	bible remove short docs	119	keep
tca	ok bible + jw	117	keep
cce	ok jw	116	keep
skr	ok; some pnb mixed in	107	keep
kmz-Latn	ok soome ar script noise	106	keep
dje	ok; mostly but not all	100	keep
: : bible : : :
gof	ok some bible	97	keep
agr	good; bible	93	keep
qvz	bible	88	keep
adh	good; bible	87	keep
quf	bible	86	keep
kjg	ok bible	84	keep
tsc	ok	82	keep
ber	ok great!	79	keep
ify	ok bible	79	keep
cbk	ok bible	78	keep
quy	bible	78	keep
ahk	good; bible; crazy	77	keep
: : diacritics : : :
cac	ok bible	77	keep
akb	good; bible	71	keep
nut	ok	67	keep
ffm	ok bible; mixed fulfulde	65	keep
: : dialects; consider : : :
: : merging with ff : : :
taj	ok bible	65	keep
ms-Arab	ok mostly utusanmelayu	63	keep
: : website : : :
brx	quite good!	62	keep
ann	good; all from wikimedia	56	keep
: : incubator : : :
qup	bible	53	keep
ms-Arab-BN	ok not sure if same as	46	keep
: : ms-Arab : : :
miq	ok	45	keep
msb	ok bible	41	keep
bim	good; bible	40	keep
raj	ok	40	keep
kwi	ok bible	37	keep
tll	ok jw	37	keep
trp	good ; lots of random	36	keep
: : stuff : : :
smt	ok bible but lots of	34	keep
: : different bibles! : : :
mrw	ok	29	keep
dln	ok bible	28	keep
qvc	bible	27	keep
doi	ok actually nice!	26	keep
ff	ok after shortfilter	26	keep
zh	very noisy	19850947	keep (filtered)
zh-Latn	poor quality	602	remove
rhg-Latn	remove	10302	remove
ja-Latn	remove maybe low quality	7516	remove
: : short and repeated : : :
pam	remove	2773	remove
za	revisit after	1700	remove
: : shortfilter : : :
ar-Latn	terrible, 0% orrect,	1520	remove
: : remove : : :
mnw	remove en noise and	1100	remove
: : boilerplate : : :
fip	ok jw ; but wrong	729	remove
: : language. mostly : : :
: : Mambwe-Lungu and Bemba, : : :
: : as well as Fipu (mgr+bem : : :
: : vs. fip) : : :
el-CY	bad; not Cypriote	537	remove
luz	terrible; remove	354	remove
cni	ok; bible; lots of mixed	261	remove
: : in content in : : :
: : not,cob,cpc,arl : : :
apd-SD	terribly questionable;	227	remove
: : probably remove : : :
mey	mostly short and noisy	127	remove
: : borderline : : :
awa	OK; should be used with	126	remove
: : caution and suspicion : : :
mtq	remove short doc	111	remove
: : repetitive : : :
mel	remove noisy en	103	remove
mr-Latn	remove mostly porn and	91	remove
: : short docs : : :
srr	remove ; english	91	remove
: : boilerplate : : :
en-Cyrl	ok ... some fr-Cyrl too	90	remove
: : and maybe others : : :
en-Arab	remove	79	remove
syl	idk maybe ok ?	61	remove
jax	filter mostly	58	remove
: : text.medjugorje.ws : : :
: : boilerplate : : :
xmm	very noisy lots of dj	58	remove
: : tiktok and peppa pig : : :
: : repeated : : :
shu	quite questionable. prob	53	remove
: : remove : : :
ks	ok shorter docs	51	remove
gyn	remove boilerplate and	45	remove
: : porn : : :
aa	some pretty bad data but	32	remove
: : also some good data. : : :
: : filter on "Woo" (case : : :
: : sensitive) : : :
sjp	terible; probably	31	remove
: : remove; check again : : :
: : after short filter : : :
abs	all short nonsense	24	remove
: : remove : : :
mui	remove short docs	23	remove
mdh	filter porn short text	22	remove
: : and repetitive : : :
: : boilerplate : : :
noe	ok	22	remove
sxu	rvisit after shortfilter	22	remove
bhb-Gujr	bad. remove. all junk	20	remove
: : gu. : : :
yaq	remove	20	remove
prk	ok	18	remove
cgg	rather noisy but	17	remove
: : potentialy ok. not sure : : :
: : if WL or not : : :
bto	bad; remove unless short	16	remove
: : filter keeps enough : : :
ayl	terrible	13	remove
pa-Arab	ok	13	remove
bmm	terrible. filter on	11	remove
: : short and reevaluate : : :
mfb	remove short boilerplate	11	remove
mtr	ok fix virama remove en	11	remove
: : noise : : :
pmy	remove	11	remove
skg	terrible; remove	11	remove
ymm	remove	11	remove
xnr	ok maybe fix virama	9	remove
: : though it seems fine : : :
kjb	ok bible	8	remove
azg	short noise; bible	7	remove
bgz	idk maybe ok but	7	remove
: : probably bad : : :
ctg	probably terrible	7	remove
: : probably remove : : :
nyo	ok	7	remove
mdy	ok bible	6	remove
syl-Latn	revist or remove after	6	remove
: : shortfilter : : :
xog	ok bible and stories	6	remove
cyo	terrifying noise; remove	4	remove
kfy	filter virama issue	4	remove
nd	ok	4	remove
rwr	remove	4	remove
tuf	ok bible	4	remove
clu	ok bible	3	remove
ng	ok	3	remove
zyj	deeply bad data ..	3	remove
: : revisit after : : :
: : shortfilter : : :
rkt	ok	2	remove
bgc	super sketch. Remove	1	remove
: : unless short doc filter : : :
: : leaves some. remove : : :
dcc	remove	1	remove
ff-Adlm	good	1	remove
gju	remove short boilerplate	1	remove
max	remove short some ru	1	remove
mwr	filter short docs fix	1	remove
: : virama : : :
trw	sus; remove	1	remove
vkt	1 doc remove	1	remove
gjk	empty remove	0	remove
bfy	very bad. remove unless	0	remove
: : it looks better after : : :
: : filtering short docs; : : :
: : remove : : :
nyn	ok	0	remove
sgj	remove	0	remove

A few comments too long to fit in the table above:

• alt: WAIT THIS IS AMAZING IT IS ACTUALLY ALTAI! e.g. from urls like https://altaicholmon.ru/2020/02/28/jarashty-la-jajaltany-jarkyndu-lekeri/
• tly-IR: They all look like boilerplate content, e.g., list of keywords/search queries used to bump page ranking in search results. Not any useful material for translation. Remove.
• zap: pls note that at least some Zapotec speakers tend to view it as one language, not as a million dialects like ISO does. However, some are certainly mutually unintelligible, complicating the matter.
• zh-Latn: The biggest problem is that several examples are not in Latin Chinese (i.e., romanization in my understanding) but in English or mixed English and Chinese. For those data in Latin Chinese, their quality seems to be good.
• zh: Many examples are porn-related, particularly those very long documents. Also, there are some examples of traditional Chinese.

Final Dataset information

The number of documents, sentences, tokens, characters, and bytes for the noisy and clean splits of the data. Note that the "toks" field below uses whitespace for tokenization, so is not appropriate for non-whitespace-separating languages like Chinese (see section above). Note that the english subset in this version is missing 18% of documents that were included in the published analysis of the dataset. These documents will be incoporated in an update coming soon.

BCP-47	docs (noisy)	docs (clean)	sents (noisy)	sents (clean)	toks (noisy)	toks (clean)	chars (noisy)	chars (clean)	clean	noisy
total*	7.2B	3.7B	133.1B	97.5B	4.6T	2.6T	30.6T	16.0T	11.4 T	6.3 T
en*	3.0B	1.5B	71.1B	45.4B	2.0T	1.3T	12.3T	7.6T	2.6 T	4.3 T
ru	823M	402.5M	823M	12.4B	416.5B	240.9B	3.1T	1.8T	832.9 G	1.4 T
es	476.4M	250.9M	8.3B	4.5B	325.7B	170.4B	2.1T	1.1T	380.9 G	747.5 G
de	478.6M	225.1M	11.5B	6B	299.5B	139.6B	2.2T	1T	370.6 G	815.5 G
fr	384.2M	218.9M	7.9B	5B	307.1B	165.2B	2T	1T	370.4 G	699.1 G
it	238.9M	126.4M	4.5B	2.5B	180.1B	83.6B	1.2T	553.1B	198.4 G	429.6 G
pt	209.2M	124.2M	4B	2.4B	123.2B	79.2B	791.5B	499.8B	183.1 G	289.6 G
pl	145.1M	90.9M	3.3B	2.4B	68.9B	49.2B	505B	356.4B	140.7 G	202.5 G
nl	134.5M	86.6M	134.5M	2.3B	104.4B	51.6B	698.5B	334.5B	118.2 G	247.5 G
tr	107M	56.4M	107M	1.2B	41.9B	25B	328.8B	198.9B	73.7 G	123.9 G
vi	92.8M	55M	1.6B	1B	71.5B	48.7B	342B	228.8B	88.8 G	133.9 G
cs	72.1M	38.3M	1.7B	1B	40.8B	22.1B	272.2B	147.9B	62.1 G	112.7 G
id	120.9M	38M	2.2B	747.5M	60.4B	20.2B	443B	148.3B	48.5 G	148.7 G
ro	60.8M	35.4M	60.8M	746.4M	37.1B	22.9B	244.1B	148.2B	55.5 G	90.3 G
sv	65.2M	35.2M	65.2M	1B	62.1B	23.9B	422.6B	153.7B	57.0 G	149.9 G
hu	47.6M	29.7M	1.3B	806.3M	29.8B	17.8B	223.6B	134.9B	53.5 G	86.8 G
uk	46.6M	25M	1B	599.9M	21.6B	12.8B	164.2B	95.2B	45.1 G	75.8 G
fa	58.1M	23.1M	920.6M	493.5M	40.6B	18.4B	220.4B	96.7B	43.4 G	97.4 G
ja	23.3M	21.8M	326M	321.6M	10.9B	10.9B	133.3B	132.2B	98.7 G	99.7 G
el	52.4M	20.9M	808M	445.4M	25B	12B	173.2B	80.9B	37.9 G	80.8 G
fi	35.8M	20.4M	1B	650.3M	23.8B	11.5B	202.2B	101.1B	37.6 G	74.1 G
zh	29.3M	19.9M	492.3M	298.8M	19.2B	10B	333B	142.3B	109.9 G	191.8 G
da	38.5M	17.9M	1.1B	508M	37.7B	13B	252B	83.1B	29.4 G	89.5 G
th	19M	17.4M	19M	385.8M	8.9B	8.9B	118.6B	117.6B	57.6 G	58.2 G
no	34.7M	14.9M	34.7M	498.7M	46.6B	11.8B	305.6B	74.8B	27.3 G	109.8 G
bg	27.2M	12.8M	599.4M	360.3M	14.4B	8.8B	95.6B	57.8B	26.0 G	42.8 G
ko	19.7M	12.7M	628.6M	471.8M	13.3B	9.3B	65.9B	43.8B	34.2 G	49.1 G
ar	67.6M	12.4M	876.6M	182.6M	39B	7.1B	243B	43.2B	20.9 G	115.9 G
sk	23.2M	11.9M	487.9M	300.6M	11.3B	6.7B	77.8B	45.7B	18.8 G	31.9 G
ca	17.9M	9.5M	258.6M	153M	8.9B	5.6B	56.5B	34.6B	12.6 G	20.8 G
lt	15.3M	8.7M	374M	256.9M	7.5B	5.3B	58.6B	41.3B	15.7 G	22.3 G
he	14.1M	7.2M	302.2M	196.8M	9.2B	5.2B	54.9B	30.5B	14.8 G	26.3 G
sl	12M	6.3M	316M	180M	6.9B	4.5B	47.8B	30.5B	11.5 G	18.0 G
et	8.8M	5.5M	223.8M	176.3M	5B	3.6B	40.1B	28.7B	10.7 G	15.0 G
lv	8.4M	5M	186.1M	138.5M	4.8B	3.2B	36.7B	23.9B	9.1 G	13.8 G
hi	9.9M	4.5M	254.4M	152M	7.4B	3.8B	39.9B	20.1B	9.9 G	19.7 G
sq	5.5M	3.6M	5.5M	56.1M	2.7B	2.1B	17B	12.7B	4.8 G	6.6 G
az	5.2M	3.3M	90.3M	70.9M	2.1B	1.5B	16.3B	11.9B	4.5 G	6.3 G
hr	23M	2.8M	476.6M	53M	12.6B	1.4B	85.1B	9.6B	3.7 G	33.5 G
ta	5.6M	2.6M	122.5M	81.9M	2.1B	1.1B	19.2B	10.6B	4.9 G	8.8 G
ms	14.1M	2.3M	14.1M	55.2M	8B	1.7B	58.8B	12.5B	4.0 G	20.4 G
ml	3.7M	2.1M	75M	52M	1B	603.3M	10.5B	6.3B	3.0 G	5.1 G
sr	4.7M	2M	4.7M	64M	2.7B	1.6B	18.6B	11B	5.1 G	8.7 G
kk	3.1M	1.8M	87.4M	59.1M	1.6B	1B	13.4B	8.6B	3.8 G	5.8 G
te	2.5M	1.7M	59M	46.4M	900.2M	618.5M	7.4B	5.1B	2.6 G	3.8 G
mr	2.9M	1.7M	2.9M	50M	1.2B	776.9M	8.7B	5.5B	2.8 G	4.4 G
is	2.9M	1.6M	73.7M	39.3M	2.1B	979.2M	14.9B	6.4B	2.5 G	5.9 G
bs	12.9M	1.4M	163.6M	9M	5.9B	490.9M	39.5B	3.3B	1.3 G	15.6 G
mk	2.9M	1.4M	41.3M	22.6M	1.3B	685.9M	9.1B	4.5B	2.0 G	4.0 G
gl	4.2M	1.3M	45.3M	18.8M	2.3B	748.4M	15.6B	4.8B	1.7 G	5.5 G
eu	2.1M	1.2M	41.7M	24.8M	827.5M	525.3M	6.9B	4.3B	1.5 G	2.4 G
bn	4.3M	1.1M	151.2M	38.6M	2.5B	645.7M	16.8B	4.3B	2.2 G	8.7 G
be	2M	1.1M	48.8M	31.3M	981M	632.9M	7.2B	4.6B	2.2 G	3.5 G
ka	3.1M	936.5K	53.7M	26.6M	1.2B	460.8M	10.3B	3.8B	1.9 G	5.0 G
fil	4.2M	901.5K	67.4M	19.2M	2.2B	741.7M	14.6B	4.7B	1.5 G	5.0 G
mn	2.2M	879.9K	43.3M	24M	1.1B	487.5M	7.9B	3.5B	1.6 G	3.5 G
af	2.9M	868.7K	51.9M	30M	1.7B	795M	11.8B	4.8B	1.8 G	4.2 G
uz	1.4M	669.9K	25.7M	17.5M	605.9M	388.3M	5.2B	3.3B	1.1 G	1.9 G
gu	1.3M	659.7K	28.9M	18.1M	634.4M	345.9M	3.9B	2.1B	1.1 G	2.0 G
kn	1.6M	657.8K	32.9M	19.2M	546.4M	258.6M	4.6B	2.2B	1.1 G	2.3 G
kaa	1.1M	586.4K	19.8M	13.3M	455.9M	269M	3.8B	2.2B	990.2 M	1.6 G
sw	1.3M	537.8K	1.3M	9.5M	660.7M	345.8M	4.6B	2.4B	826.1 M	1.6 G
ur	967.2K	467.2K	29M	18.4M	1B	562.5M	5.2B	2.7B	1.2 G	2.4 G
ne	876.4K	453.3K	876.4K	20.4M	585M	345.3M	3.9B	2.2B	1.1 G	1.9 G
cy	4.9M	430.7K	68.3M	7.4M	3.6B	275.6M	26.4B	1.7B	609.5 M	10.0 G
hy	2M	397.5K	31.1M	9.9M	1B	190.9M	8.1B	1.5B	678.9 M	3.6 G
ky	751.1K	367.6K	14.3M	9.6M	303.4M	181.6M	2.5B	1.4B	665.1 M	1.1 G
si	788K	349.2K	22.1M	16M	507.3M	293.3M	3.4B	1.9B	1023.6 M	1.8 G
tt	2.1M	346.9K	60.2M	8.6M	1B	135M	12.1B	1B	494.1 M	4.6 G
tg	789.2K	328.2K	789.2K	7.4M	363.8M	208.8M	2.6B	1.4B	635.7 M	1.1 G
la	2.9M	319.2K	85.7M	13.8M	1.1B	218.4M	8.2B	1.5B	550.6 M	2.9 G
so	729.2K	293.2K	729.2K	3.1M	294.8M	146.3M	2.1B	992.4M	350.8 M	746.2 M
ga	5.3M	286K	31.7M	6.9M	4.2B	229.3M	30.6B	1.4B	500.7 M	9.8 G
km	297.8K	285.7K	5M	5M	53M	52.6M	1.1B	1.1B	566.2 M	570.0 M
mt	1.2M	265.4K	1.2M	5.6M	390.4M	171.5M	3.2B	1.3B	467.4 M	1.1 G
eo	1.4M	260K	33.9M	9.3M	745.1M	253.1M	5.5B	1.7B	627.6 M	1.9 G
ps	429.9K	252.9K	5.1M	3.6M	293.9M	177.5M	1.4B	848.9M	403.5 M	682.9 M
rw	681.8K	226.5K	681.8K	1.9M	225M	99.8M	1.7B	749.1M	264.8 M	702.4 M
ku	671.9K	218.9K	10.7M	4.9M	305.3M	143.8M	2.1B	849.9M	335.3 M	791.9 M
lo	229.1K	216K	2.9M	2.8M	41.7M	41.1M	706.9M	697.6M	365.3 M	370.8 M
fy	1.7M	210K	12.1M	3.7M	506.9M	94M	3.7B	592.3M	223.0 M	1.2 G
ha	443.9K	173.5K	4.5M	2.4M	206.5M	109.3M	1.3B	630.2M	219.0 M	478.1 M
my	176.5K	172.4K	176.5K	10.1M	96.6M	96.3M	1.3B	1.3B	648.8 M	650.4 M
dv	264.4K	167.2K	4.3M	3.5M	92.8M	64M	877.3M	603.1M	238.3 M	343.2 M
pa	368.2K	150.6K	368.2K	6M	306M	152.8M	1.6B	797.1M	414.1 M	857.6 M
ckb	622.7K	148.9K	5.6M	2.5M	312.7M	83.3M	2.2B	572.7M	265.0 M	1011.1 M
lb	7.6M	146K	47.1M	3.4M	7.5B	85M	58.4B	575.5M	218.4 M	22.2 G
mg	295.2K	115.4K	4.5M	2.6M	189.4M	75.5M	1.3B	548.5M	179.0 M	429.3 M
ht	425.6K	110.4K	6.7M	2.6M	163M	84.3M	994.5M	461.5M	168.2 M	361.5 M
ug	227.1K	106.5K	4.5M	3.1M	122.9M	62.7M	998.5M	504.6M	233.1 M	449.9 M
am	245.2K	106.3K	7.1M	5.3M	157M	95.2M	869.9M	509M	345.5 M	539.4 M
or	139.6K	100.5K	139.6K	3.1M	66M	47.3M	437.2M	309.5M	160.3 M	228.1 M
fo	382.9K	97.8K	3.9M	1.8M	136.5M	48.9M	923.3M	314.9M	122.0 M	328.8 M
gd	206K	94.3K	3.7M	2.4M	127.6M	84.5M	812M	526M	173.4 M	276.6 M
ba	372.4K	90.3K	9.3M	2.6M	101M	42.1M	766.5M	320.7M	154.8 M	352.4 M
tk	180.2K	82.5K	180.2K	1.8M	65.4M	43.3M	575.2M	369M	131.3 M	221.6 M
mi	711.9K	79.5K	5.9M	1.9M	262.5M	73.5M	1.6B	371.9M	120.2 M	539.1 M
hmn	241.3K	75.2K	3.5M	1.9M	192.1M	80.2M	1.2B	408.8M	124.3 M	366.0 M
grc	364.8K	70.7K	13.7M	2.8M	298.6M	65.3M	2B	417.8M	217.7 M	1.0 G
jv	999.5K	69.5K	13M	2M	302.3M	52.1M	2.3B	376.1M	130.9 M	797.8 M
ceb	617.5K	66.2K	6.7M	1.6M	225M	58.2M	1.5B	357.7M	116.2 M	451.4 M
sd	115.6K	65.9K	115.6K	2.4M	112.6M	77.8M	561M	380.4M	182.3 M	267.1 M
yi	160.6K	64.9K	3.3M	1.9M	129.1M	53.9M	838.4M	352.6M	146.0 M	350.8 M
kaa_Latn	375.2K	61.2K	3.6M	1.3M	375.2K	61.2K	1.5M	209.5K	86.2 M	264.6 M
sn	3.1M	60.2K	3.1M	1.2M	1.3B	31.6M	10.6B	266M	92.5 M	3.2 G
co	546.7K	55.4K	6.1M	1.3M	172.6M	43.6M	1.1B	265.5M	98.8 M	386.8 M
su	336.6K	55K	336.6K	1.6M	154M	39.5M	967.2M	286.7M	100.7 M	308.5 M
pap	259.1K	54.5K	259.1K	1.4M	183.9M	41.1M	1.4B	229.9M	83.5 M	451.4 M
ig	130.4K	54.4K	2.1M	1.4M	129.2M	45.7M	846.1M	251.4M	93.0 M	178.9 M
zu	372.3K	53.8K	3.8M	1.2M	148.4M	27.2M	1.2B	257.4M	89.6 M	374.7 M
xh	310.9K	53.7K	2.9M	1.4M	81.6M	31.2M	749.5M	287.3M	100.0 M	319.1 M
sm	137.8K	52.6K	1.9M	1.3M	100.9M	53.7M	607.9M	276.3M	88.6 M	184.5 M
ny	181.6K	52.2K	181.6K	1.5M	80.6M	34.8M	611.2M	277.5M	91.8 M	209.8 M
yo	115K	52.1K	2M	1.2M	76.6M	46.3M	415.6M	239M	89.2 M	157.8 M
cv	599.4K	47.3K	12M	1.6M	169.6M	22.2M	1B	168.9M	82.1 M	413.6 M
el_Latn	497.3K	46.4K	11.3M	1.7M	497.3K	46.4K	2.3M	162.8K	196.8 M	571.1 M
kl	85.9K	46K	2.1M	1.5M	32.3M	22.3M	403.9M	279.1M	84.2 M	126.1 M
haw	310.4K	45.7K	7.1M	1M	141M	43.3M	892M	214.2M	69.9 M	271.2 M
gsw	7.6M	42.7K	64.5M	1M	5B	22.3M	42.3B	149.2M	53.8 M	13.5 G
tet	291K	40.4K	1.9M	475.7K	240.6M	22.8M	1.6B	152.3M	51.2 M	455.4 M
st	96.8K	40.4K	96.8K	1.1M	65M	39.8M	381.5M	226.9M	74.0 M	127.0 M
lus	91.5K	36.4K	1.4M	863.5K	53M	31.3M	298.3M	167.3M	60.1 M	107.0 M
oc	2.4M	36.4K	2.4M	1.6M	887.6M	26.7M	6.7B	177.6M	58.7 M	1.9 G
as	53.9K	33.8K	2.4M	1.7M	41.4M	27.9M	275.8M	182.1M	95.8 M	146.1 M
rm	238.1K	33.8K	238.1K	603.4K	59.2M	15.8M	391M	100.2M	34.6 M	133.1 M
br	705.4K	33.2K	7.8M	731.7K	646.8M	21M	3.7B	125.4M	46.2 M	1.2 G
sah	1.3M	29.2K	1.3M	1.2M	283.7M	17.6M	2.2B	148.2M	68.3 M	852.3 M
hi_Latn	1.2M	26.7K	22.6M	1.2M	1.2M	26.7K	5.3M	98.9K	53.5 M	1.7 G
se	54.3K	23.9K	879.5K	493.3K	17.7M	10M	148.4M	84.6M	31.1 M	56.6 M
cnh	44.4K	21.6K	688.6K	406.9K	21.6M	12.5M	110.8M	63M	22.1 M	39.6 M
om	846.1K	18.9K	846.1K	469.8K	238M	11.2M	1.9B	88.5M	30.4 M	881.5 M
ce	59.3K	15K	991.1K	460.1K	17.8M	9.6M	130.6M	67.8M	31.1 M	60.2 M
udm	67.1K	13.4K	942.7K	510.3K	14M	7.4M	106M	55.5M	26.3 M	49.2 M
lg	61.1K	13K	510.9K	166.1K	21.4M	6.1M	160.7M	48M	17.3 M	56.7 M
os	172.1K	12.6K	172.1K	359.3K	27.1M	6.9M	233.5M	50.1M	23.1 M	87.7 M
nv	17.1K	12.6K	17.1K	86.5K	3.1M	1.1M	24.8M	9.1M	2.0 M	7.9 M
kha	37.8K	12.1K	235.5K	75.2K	15.8M	6M	88.6M	30.2M	9.8 M	27.3 M
ilo	69.8K	11.8K	889.2K	365.1K	26.7M	9M	187.9M	59.4M	20.6 M	64.0 M
ctd_Latn	23.3K	11.6K	575.6K	382.2K	23.3K	11.6K	90.7K	41K	21.5 M	35.1 M
vec	1.1M	11.1K	10M	209.7K	284.7M	7.8M	1.8B	43.8M	17.7 M	625.0 M
hil	126.8K	10.6K	1.1M	379.7K	43.9M	9.2M	293.5M	57.2M	18.5 M	95.2 M
tyv	61.6K	9.1K	596.6K	268.3K	9.9M	4.7M	80.2M	38.5M	16.7 M	36.6 M
iba	34K	7.6K	326.9K	126.1K	37.8M	4.8M	251.4M	30.5M	10.0 M	61.3 M
ru_Latn	346.3K	7.5K	346.3K	239.1K	346.3K	7.5K	1.5M	27.7K	14.9 M	452.3 M
kbd	154.7K	7.5K	1.4M	257.2K	31.9M	4.4M	321.4M	36.8M	16.8 M	209.6 M
ti	20.8K	7.3K	20.8K	481.3K	18.2M	8.8M	95.4M	44.6M	30.9 M	63.6 M
sa	154.3K	7.1K	154.3K	1.1M	70M	9.9M	512.5M	88.8M	44.9 M	236.6 M
av	107.6K	6.3K	806.1K	190.1K	15.5M	3.4M	129M	30.2M	12.8 M	56.0 M
bo	6.2K	6.2K	1.1M	1.1M	3.4M	3.4M	88.7M	88.7M	40.7 M	40.7 M
zza	370.1K	6K	3.3M	229.2K	87.7M	3.9M	617.3M	26.3M	10.0 M	234.1 M
ber_Latn	480.5K	5.6K	10.5M	169.4K	480.5K	5.6K	2.1M	18.9K	11.0 M	945.3 M
otq	17.6K	5.6K	17.6K	114.8K	10.2M	3.8M	65M	23.4M	7.7 M	22.8 M
te_Latn	236.6K	5.3K	4.4M	269.1K	236.6K	5.3K	1M	19.3K	11.4 M	254.3 M
bua	9.8K	5.3K	252K	144.6K	4.7M	2.7M	38M	21.7M	10.0 M	17.9 M
ts	34.7K	5.2K	34.7K	248.6K	39.6M	6.5M	377.2M	38.8M	12.2 M	99.5 M
cfm	9.1K	4.9K	199.6K	128.6K	6.2M	4M	32.9M	21.5M	7.4 M	11.6 M
tn	138.2K	4.8K	138.2K	174.4K	46M	5.5M	302.3M	29.2M	9.4 M	99.0 M
krc	359.5K	4.8K	2.3M	153.9K	50.2M	2.6M	369.5M	20.7M	9.1 M	139.9 M
ak	19.5K	4.8K	341.7K	210.2K	12.3M	4.7M	74.5M	24.8M	9.1 M	24.7 M
meo	790.7K	4.7K	16.5M	39K	478M	1.2M	3B	7.5M	3.1 M	1.2 G
chm	81.5K	4.7K	929.1K	179.7K	17.2M	2.9M	132.2M	21.3M	9.8 M	53.5 M
to	14.3K	4.6K	14.3K	149K	10.3M	5.7M	58.2M	29.9M	9.6 M	19.0 M
ee	14.1K	4.5K	353.6K	246.7K	9.7M	6.2M	67.9M	32.8M	11.8 M	23.3 M
nso	376.2K	4.4K	376.2K	188.4K	419.2M	5.3M	2B	28.2M	9.1 M	502.7 M
ady	74.9K	4.2K	446.8K	96.9K	8M	1.6M	67.9M	14.8M	6.4 M	30.6 M
rom	22.9K	4.2K	22.9K	76.1K	8.9M	2.6M	59M	15.9M	5.8 M	21.0 M
bho	13.6K	4.1K	306.2K	118.5K	7.1M	2.7M	37.6M	13.4M	7.4 M	20.6 M
ltg	13.1K	4.1K	213.7K	87.3K	4M	1.9M	29.2M	13.9M	5.6 M	11.7 M
fj	17K	4K	410K	164.1K	11.6M	5.2M	67.7M	28M	8.6 M	22.5 M
yua	10.4K	4K	141.6K	77.6K	5.2M	2.5M	36.8M	17.2M	5.7 M	12.4 M
gn	87.1K	3.9K	770.9K	162.6K	19.2M	2.7M	140.7M	20.8M	7.8 M	52.1 M
az_RU	6.5K	3.8K	231.8K	177.3K	6.5K	3.8K	24K	12.9K	10.3 M	15.1 M
ln	94.7K	3.3K	718.7K	139K	42.4M	3.4M	291.8M	21.5M	6.8 M	85.3 M
ada	6.5K	3.1K	291.5K	199.2K	7.5M	4.9M	38.9M	24.2M	8.6 M	13.9 M
myv	164.8K	3.1K	164.8K	130K	16M	1.7M	120.3M	13.8M	6.2 M	49.5 M
bik	44.8K	3.1K	376.7K	77K	14.8M	2.5M	102.3M	15.7M	5.3 M	34.0 M
tlh	516.9K	3.1K	516.9K	46.9K	221.3M	1.1M	1.4B	7.8M	2.7 M	554.2 M
kbp	5.9K	3K	247.9K	128.3K	5.6M	2.6M	30.8M	14.6M	5.7 M	12.4 M
war	1M	2.9K	114M	96.2K	612.1M	2.4M	3.5B	16.1M	3.7 M	1.2 G
wa	70.6K	2.8K	1.5M	127.2K	35.2M	3.6M	198.8M	20.4M	7.2 M	67.8 M
bew	311.1K	2.7K	10.4M	58.4K	212.4M	1.3M	1.4B	8.5M	3.1 M	547.1 M
rcf	21.6K	2.6K	21.6K	50.5K	4.9M	1.2M	30.2M	5.7M	2.1 M	11.4 M
ta_Latn	260.7K	2.6K	3.4M	142.7K	260.7K	2.6K	1.2M	9.1K	5.0 M	215.4 M
kac	5.9K	2.6K	109.2K	77.4K	5M	2.8M	26.6M	13.6M	4.3 M	8.0 M
iu	5.4K	2.5K	92.6K	53.1K	1.9M	907.4K	17.5M	8.3M	4.8 M	9.9 M
ay	8.1K	2.5K	196.7K	83.8K	3.9M	1.4M	34.5M	13.1M	4.5 M	12.7 M
kum	4.2K	2.5K	132.2K	89.7K	2.3M	1.6M	18.2M	12.4M	5.3 M	8.0 M
qu	149.7K	2.4K	1M	87K	26.7M	1.3M	200.6M	12.2M	4.0 M	68.3 M
bgp	355.7K	2.4K	5.6M	43.3K	186.1M	1.8M	1.1B	9.8M	3.1 M	377.5 M
hif	702K	2.4K	7.9M	124.7K	1.2B	3.2M	9.1B	19.1M	5.9 M	3.5 G
kw	176.9K	2.3K	1M	51.6K	53.1M	1.3M	327.8M	7.7M	2.8 M	89.2 M
nan_Latn_TW	7.4K	2.3K	7.4K	72.7K	7.4K	2.3K	28.3K	7.7K	4.8 M	15.4 M
srn	16.7K	2.3K	16.7K	139.5K	8M	3.4M	49.1M	17M	5.1 M	15.6 M
tly_IR	406.3K	2.2K	406.3K	18.2K	406.3K	2.2K	1.6M	8.6K	580.4 K	283.0 M
sg	4.2K	2.1K	154K	117.9K	4.6M	3.3M	22.6M	15.5M	4.6 M	6.8 M
gom	4.6K	2.1K	178.3K	108K	2.7M	1.4M	19.8M	10M	5.0 M	10.5 M
ml_Latn	260.8K	2.1K	3.5M	77.3K	260.8K	2.1K	1.1M	7.2K	3.5 M	277.7 M
kj	112.2K	2.1K	881.8K	22.6K	46.9M	877.3K	339.6M	6M	2.1 M	104.9 M
ksd	14.9K	2K	533K	78.6K	11.5M	2.1M	62.4M	10M	2.9 M	20.0 M
dz	1.9K	1.9K	191.7K	191.7K	1.1M	1.1M	22.7M	22.7M	10.0 M	10.0 M
kv	59.1K	1.9K	584.3K	88.8K	9.5M	1.2M	91.4M	9M	4.4 M	41.0 M
msi	686.7K	1.9K	686.7K	22.6K	414.8M	440.4K	2.6B	2.7M	1.1 M	1.0 G
ve	3.8K	1.9K	97.8K	79.4K	3.2M	2.1M	19M	11.7M	3.8 M	6.2 M
zap	5.5K	1.8K	202.3K	93.5K	4.2M	1.8M	26.4M	11.4M	4.0 M	9.6 M
zxx_xx_dtynoise	118.8K	1.8K	3.8M	49.3K	118.8K	1.8K	501K	6.6K	3.9 M	367.0 M
meu	5.9K	1.7K	232.1K	72.6K	4.2M	1.4M	27.2M	8.6M	2.6 M	9.1 M
iso	3.7K	1.7K	155.8K	111.5K	4.4M	2.7M	23M	13.7M	4.9 M	8.1 M
ium	100.3K	1.7K	6.2M	54.9K	48.4M	1.7M	314M	7.4M	2.6 M	124.0 M
nhe	3K	1.7K	3K	57.7K	1.9M	1.2M	15.6M	9.8M	2.7 M	4.8 M
tyz	8K	1.7K	454.8K	104.6K	7.5M	1.9M	46.3M	11.3M	3.8 M	16.0 M
hui	2K	1.7K	80.1K	74.7K	1.8M	1.7M	11.8M	10.9M	3.0 M	3.3 M
new	6.6K	1.6K	6.6K	85K	3.2M	1.4M	21.2M	8.8M	4.4 M	10.6 M
mdf	71K	1.6K	394.7K	45.1K	8.3M	670.1K	65.8M	5.5M	2.5 M	26.7 M
pag	49.6K	1.6K	49.6K	88.8K	13.8M	1.9M	92.9M	12M	3.9 M	29.2 M
gv	501.9K	1.6K	18.8M	26.9K	137.7M	996.2K	933.1M	6.2M	2.0 M	318.6 M
gag	33.9K	1.6K	491K	37K	10.2M	661K	84.9M	5.2M	2.1 M	32.6 M
ngu	3.8K	1.5K	3.8K	87.1K	2.7M	1.5M	21.4M	11.8M	3.6 M	6.7 M
quc	4.4K	1.5K	89.2K	41.2K	2.8M	1.1M	16.6M	6.4M	2.2 M	5.9 M
mam	23K	1.5K	446.3K	52.9K	9.8M	1.2M	70.4M	7.2M	2.6 M	30.7 M
min	28.2K	1.5K	500.9K	75.6K	10.2M	1.4M	70.5M	9.9M	2.6 M	21.1 M
ho	2K	1.5K	57K	47.8K	1.8M	1.3M	12.3M	7.8M	1.9 M	3.1 M
pon	5.7K	1.5K	167.8K	48.7K	3M	1.1M	18.3M	6.7M	2.1 M	6.1 M
mrj	97.1K	1.4K	97.1K	60.3K	14.5M	1.1M	100.6M	7.6M	3.6 M	40.8 M
lu	10.6K	1.4K	316K	112.1K	7.8M	2.3M	54.2M	15.4M	4.8 M	18.0 M
gom_Latn	231.1K	1.4K	4.1M	77.9K	231.1K	1.4K	1M	5.1K	3.6 M	240.6 M
alt	2.6K	1.4K	110.1K	65.9K	1.8M	1.1M	14.3M	8.7M	3.8 M	6.4 M
nzi	2.5K	1.4K	2.5K	71.8K	2.5M	1.7M	14.4M	9.4M	3.1 M	4.8 M
tzo	2.8K	1.4K	100.4K	75.7K	2.5M	1.7M	15.9M	10.6M	3.2 M	4.9 M
bci	7.4K	1.3K	124.8K	87.1K	5M	1.9M	32.8M	9M	3.1 M	9.4 M
dtp	4.6K	1.3K	51.2K	7.9K	1.9M	419.4K	12.7M	3M	1013.9 K	4.5 M
abt	1.6K	1.3K	122.7K	110.3K	1.5M	1.3M	9.6M	8.2M	2.2 M	2.7 M
bbc	72.3K	1.3K	718.3K	73.2K	21.7M	1.7M	151.3M	10.6M	3.6 M	47.9 M
pck	8.9K	1.3K	8.9K	69.7K	6.8M	2.1M	39.8M	11.5M	4.2 M	14.2 M
mai	54.3K	1.2K	1M	60.2K	24.6M	1.2M	156M	6.8M	3.6 M	67.1 M
mps	2.7K	1.2K	132.8K	71.9K	2.8M	1.6M	16M	8.7M	2.3 M	4.8 M
emp	3.6K	1.2K	106.4K	75.4K	1.9M	999.1K	14.5M	7.4M	2.4 M	4.9 M
mgh	5.5K	1.2K	151.8K	61.2K	2.8M	1.1M	24.1M	8.2M	2.8 M	8.3 M
tab	7.8K	1.2K	226.4K	26.8K	4.3M	538.9K	33.7M	4.4M	1.9 M	15.7 M
crh	5.1K	1.2K	170.9K	61.8K	2.4M	943K	18.8M	7.5M	3.4 M	8.9 M
tbz	5.1K	1.1K	128.7K	37.5K	3.5M	893.4K	22M	4.8M	1.9 M	10.2 M
ss	8.1K	1.1K	8.1K	30.4K	2.7M	568.3K	23.7M	5.5M	1.8 M	7.4 M
chk	2.8K	1.1K	98.8K	44K	2M	1M	12M	5.8M	1.8 M	4.0 M
bru	3K	1.1K	89.7K	48.2K	2.4M	938.1K	12.9M	4.8M	1.5 M	4.5 M
nnb	4.9K	1.1K	4.9K	70.2K	3.2M	1.2M	27.7M	9.1M	3.3 M	10.0 M
fon	5.3K	1.1K	222.9K	67.3K	6.9M	1.8M	34M	8.3M	3.1 M	14.8 M
ppk	2.6K	1.1K	85.8K	34.9K	1.9M	801.8K	13.2M	5.5M	1.6 M	4.3 M
tiv	3.8K	1.1K	3.8K	80.7K	3.7M	2.1M	20.4M	10.2M	3.2 M	6.0 M
btx	3.1K	1K	81.7K	43.9K	2M	907.5K	13.1M	5.9M	2.0 M	4.6 M
bg_Latn	200.4K	991	2.8M	25.5K	200.4K	991	927.1K	3.7K	1.7 M	143.6 M
mbt	1.6K	969	86K	45.4K	2.4M	1.3M	14.6M	7.5M	2.2 M	5.1 M
ace	65.5K	966	632.5K	32.5K	19.9M	1.1M	146.1M	7.4M	2.2 M	42.3 M
tvl	2.3K	933	72.9K	53.6K	2.5M	1.7M	12.6M	8.1M	2.4 M	3.8 M
dov	3.5K	923	129.8K	56.7K	2.6M	967.5K	20.7M	8M	2.6 M	7.1 M
ach	2K	915	63K	40.1K	1.6M	890.9K	9M	4.7M	1.6 M	3.0 M
xal	71.8K	913	498.5K	30.8K	8.5M	449.8K	64.7M	3.2M	1.5 M	24.4 M
cuk	4.1K	899	76.5K	34.3K	2M	469.9K	24.7M	4.6M	1.5 M	6.1 M
kos	2.2K	881	44.6K	27.8K	1.1M	780.1K	6.5M	4.2M	1.4 M	2.2 M
crs	7.6K	873	282.4K	40.1K	7.3M	1.2M	40.1M	6.8M	2.2 M	13.2 M
wo	36.4K	871	303.4K	25.4K	30.7M	850.7K	213.4M	4.5M	1.7 M	59.9 M
bts	3.2K	869	109.1K	29.1K	3.1M	663.3K	20.8M	4.2M	1.4 M	6.2 M
ubu	2.2K	846	113.5K	47.5K	2.3M	996.4K	15.9M	6.7M	1.9 M	4.7 M
gym	1.5K	820	73.7K	49.6K	1.6M	1.1M	10.3M	6.9M	2.0 M	3.2 M
ibb	74.1K	818	516.5K	36.3K	26.4M	776.1K	190.9M	4.9M	1.5 M	56.0 M
ape	7K	814	147K	56.1K	12.4M	881.5K	71M	5.8M	1.6 M	18.8 M
stq	111.9K	809	111.9K	27.7K	34.4M	600.4K	243.1M	3.8M	1.5 M	82.5 M
ang	66.5K	803	1.8M	86.7K	28.5M	1.7M	193M	9.8M	3.4 M	67.1 M
enq	7.1K	793	241.9K	39.1K	11M	718.8K	68.5M	4.8M	1.3 M	18.8 M
tsg	353.8K	789	353.8K	17.9K	158M	588.9K	1.1B	3.8M	1.0 M	309.9 M
shn	889	788	46.4K	46.2K	383.8K	378.5K	5.7M	5.7M	2.6 M	2.6 M
kri	39.1K	786	271.2K	38.8K	12.6M	995.2K	86.4M	5M	1.6 M	20.9 M
kek	3.2K	782	70.4K	38.4K	1.8M	709K	13.6M	4.4M	1.4 M	4.7 M
rmc	2.4K	738	2.4K	25.8K	1.3M	545.4K	7.9M	3.2M	1.1 M	2.9 M
acf	4.9K	730	81.9K	24.6K	2.1M	602.2K	11.6M	3M	1.1 M	4.7 M
fip	3.7K	729	165.6K	49K	3.5M	916.8K	25.7M	6.6M	2.1 M	8.6 M
syr	3.5K	716	326.4K	197.1K	4.6M	1.9M	31.5M	14M	6.1 M	13.9 M
qub	972	705	61K	51.1K	589.2K	455.5K	5.9M	4.4M	1.4 M	1.8 M
bm	21.9K	702	172.3K	24.5K	7.1M	583.1K	48.4M	3M	1.1 M	14.4 M
tzh	1.7K	702	41.7K	33.9K	1.5M	929.6K	9.3M	5.6M	1.6 M	2.6 M
jiv	1.7K	696	80.9K	32K	1.1M	418.9K	9.6M	3.5M	1.1 M	3.3 M
kn_Latn	72.9K	688	765.9K	10.1K	72.9K	688	328.1K	2.5K	430.8 K	61.4 M
kjh	1.5K	672	42.8K	28.7K	566.1K	379.2K	4.5M	3.1M	1.3 M	2.0 M
yap	1.9K	638	37.6K	19.5K	1.3M	661.4K	6.9M	3.3M	1.0 M	2.2 M
ban	8K	637	150.9K	16.3K	5M	499.7K	35.4M	3.6M	1.1 M	12.0 M
tuc	3.5K	635	193.2K	50.3K	2.9M	703K	17.2M	4.1M	1.2 M	5.7 M
tcy	10.7K	632	338.7K	37.1K	5.5M	432.6K	41.6M	3.3M	1.7 M	20.9 M
cab	1.2K	629	50.4K	37.5K	1M	690.9K	7.5M	5.1M	1.6 M	2.4 M
cak	1.2K	617	70.4K	32.6K	1.3M	730.1K	7.6M	4.2M	1.3 M	2.4 M
din	128.4K	611	885.8K	23.6K	31.6M	541.7K	210M	2.9M	1.1 M	64.3 M
zh_Latn	739.4K	602	10.7M	45.1K	739.4K	602	3.4M	2.3K	2.0 M	969.9 M
arn	2.4K	593	64.5K	26.2K	1.5M	541.9K	10.2M	3.7M	1.2 M	3.7 M
lrc	42.4K	587	351.9K	9K	17.3M	248.9K	85.3M	1.4M	646.9 K	37.5 M
rwo	938	572	938	45.5K	734.8K	590.4K	5.1M	4.2M	1.1 M	1.4 M
hus	825	569	26.5K	23.7K	733.4K	542.1K	4.4M	3.1M	967.6 K	1.3 M
bum	4.7K	559	103.8K	36.5K	3M	805.5K	18.8M	4M	1.3 M	6.1 M
mak	1K	555	32.5K	20.4K	761K	457.4K	6.1M	3.7M	1.1 M	2.0 M
frp	148K	550	3.5M	8.2K	71.2M	230.2K	535.4M	1.4M	518.3 K	129.7 M
seh	5.6K	545	68.8K	37.2K	2M	650.6K	14.9M	4.9M	1.5 M	4.4 M
twu	2.5K	539	109.9K	24.4K	2.4M	571.2K	14.2M	3.2M	1.0 M	4.8 M
kmb	1.3K	538	60.4K	36.9K	1.4M	810.8K	8.4M	4.6M	1.4 M	2.6 M
ksw	560	536	16.1K	16K	219.9K	218.8K	2.9M	2.9M	1.4 M	1.4 M
sja	1.3K	527	67.7K	24.9K	982.5K	459.3K	7.7M	3.4M	1.1 M	2.6 M
amu	1.8K	511	72K	25.2K	1.5M	443.3K	9.6M	3.2M	1.0 M	3.4 M
mad	103.8K	509	500.6K	18.5K	16.2M	386.7K	111.8M	2.8M	960.3 K	34.2 M
quh	1K	501	42K	29.9K	624.4K	396.8K	5.8M	3.7M	1.2 M	1.8 M
dyu	1.2K	483	55.8K	19.7K	1.2M	421.8K	5.7M	2M	665.5 K	1.9 M
toj	736	452	736	26.1K	691.2K	540.2K	4.3M	3.3M	1.0 M	1.3 M
ch	12.9K	449	147.5K	16K	8.9M	393.9K	63.5M	2.5M	906.8 K	10.0 M
sus	664	437	664	15.2K	648K	402.8K	3.7M	2.1M	674.0 K	1.0 M
nog	970	419	970	11K	330.3K	200.4K	2.6M	1.6M	714.0 K	1.2 M
jam	12.7K	416	68.5K	15.8K	3.5M	378.4K	25.8M	1.7M	609.5 K	7.6 M
gui	1.1K	409	62.7K	24.8K	915K	314K	6.5M	2M	619.3 K	2.1 M
nia	2K	408	2K	25K	1.7M	476.5K	11.3M	3.1M	1.0 M	3.9 M
mas	15.2K	405	216.8K	17.6K	6.2M	390.1K	42.1M	3M	927.5 K	13.4 M
bzj	983	404	33.6K	26.4K	824.3K	565K	4.5M	2.9M	981.2 K	1.4 M
mkn	956	402	33.1K	25.4K	584.2K	456.9K	3.4M	2.6M	734.8 K	1.0 M
lhu	46K	377	975K	15.7K	29.1M	441.2K	208.6M	2.5M	623.0 K	38.8 M
ctu	690	366	35.5K	20.6K	646.7K	352.8K	3.6M	2M	614.9 K	1.2 M
kg	4.7K	365	85.5K	21.7K	2.5M	406.7K	16.6M	2.6M	905.4 K	5.7 M
inb	387	343	17.3K	17K	202.8K	197K	2M	1.9M	535.2 K	555.6 K
guh	1.9K	331	104.9K	28.4K	1.5M	328.4K	11.2M	3M	789.5 K	3.5 M
rn	8.2K	323	8.2K	11.1K	4.5M	179K	33.2M	1.3M	449.9 K	11.8 M
bus	467	322	21.4K	12.1K	418.4K	219.2K	2.1M	1.1M	428.8 K	830.9 K
mfe	7.5K	320	198.8K	18.2K	4.6M	374.8K	26.9M	2.1M	716.4 K	10.1 M
sda	1.6K	317	43.2K	6.2K	2.5M	218.3K	15.8M	1.6M	529.0 K	4.7 M
bi	71.9K	311	308.5K	13.6K	19.4M	359.4K	132.4M	1.9M	546.9 K	42.6 M
cr_Latn	19K	303	170K	8.9K	19K	303	81.8K	1K	590.4 K	15.0 M
gor	1.7K	303	53.3K	6.5K	1.4M	227.1K	9.4M	1.7M	494.0 K	3.1 M
jac	8.2K	303	61.6K	11.9K	1.8M	271K	15.7M	1.7M	530.3 K	7.3 M
chr	964	301	33.8K	7.5K	629.9K	172.3K	4.7M	1M	564.1 K	2.1 M
mh	4.6K	296	235.1K	13K	3.6M	393.5K	24.9M	2.2M	778.4 K	8.4 M
mni	1.2K	290	38.1K	13.2K	841.3K	245.5K	6.4M	1.8M	866.6 K	3.0 M
wal	2.6K	286	128K	14K	2M	203.4K	17M	1.7M	525.7 K	5.1 M
teo	2.8K	274	131.5K	13.7K	2.3M	221.4K	15.3M	1.6M	564.9 K	5.3 M
gub	31.7K	271	160.4K	25K	4.7M	286.2K	44.7M	1.6M	431.3 K	23.1 M
qvi	1.2K	266	48.4K	19.3K	720.4K	248.9K	6.5M	2.3M	641.2 K	1.9 M
tdx	1.7K	262	26.3K	13.2K	1M	238.5K	7M	1.6M	503.6 K	2.1 M
rki	331	251	331	7.8K	119.7K	113.7K	1.6M	1.5M	751.3 K	781.8 K
djk	560	246	30.9K	24.4K	669.5K	455.6K	3.7M	2.2M	644.3 K	1.0 M
nr	10.7K	246	10.7K	11.3K	5.3M	162.5K	49M	1.5M	519.7 K	17.8 M
zne	1.3K	239	61.9K	21.3K	1.4M	504.6K	8.2M	2.8M	882.3 K	2.8 M
izz	423	237	21.7K	14.5K	382.8K	194.5K	2.1M	1.1M	382.2 K	789.9 K
noa	902	234	902	11.5K	821.1K	243.9K	5.2M	1.6M	534.3 K	1.7 M
bqc	275	228	9.8K	8.2K	193K	151.7K	997K	788.4K	317.0 K	408.1 K
srm	847	227	847	17.3K	1.2M	445.3K	6.3M	2M	613.4 K	1.7 M
niq	26.7K	226	26.7K	4.2K	9.9M	103.4K	72.1M	716.2K	239.1 K	20.9 M
bas	4.2K	216	105.2K	14.9K	4.3M	362.8K	25.7M	1.7M	600.7 K	7.6 M
dwr	452	215	22.1K	11.1K	269.4K	139.5K	2.2M	1.2M	375.4 K	747.6 K
guc	537	214	22.9K	12.5K	422.4K	218.1K	3.4M	1.8M	540.1 K	1.1 M
jvn	1K	213	36.2K	7.8K	790.5K	185.6K	5.3M	1.2M	357.2 K	1.7 M
hvn	737	200	33.9K	7K	779.7K	239.4K	4.3M	1.2M	378.5 K	1.4 M
sxn	587	197	587	9.9K	494K	220.6K	3.4M	1.5M	507.1 K	1.2 M
koi	20.7K	196	153.9K	5K	2.2M	89.9K	17.1M	664.5K	323.0 K	7.1 M
alz	2.2K	195	59.3K	12.2K	1.3M	246.9K	7.9M	1.4M	488.1 K	2.9 M
nyu	1.2K	195	1.2K	11K	988.7K	210.5K	7.7M	1.6M	492.6 K	2.2 M
bn_Latn	98.7K	191	1.3M	12K	98.7K	191	458K	730	314.7 K	81.0 M
suz	226	186	226	11.3K	169.6K	140.5K	1M	855.2K	339.5 K	429.6 K
pau	1.7K	185	1.7K	13.1K	2M	394.6K	12.4M	2M	600.1 K	3.2 M
nij	1K	183	1K	9.2K	741.6K	186.1K	4.7M	1.2M	389.6 K	1.6 M
sat_Latn	39K	183	39K	5.5K	39K	183	183.8K	601	276.1 K	39.2 M
gu_Latn	58.2K	179	688.4K	5.4K	58.2K	179	260.8K	673	241.0 K	47.9 M
msm	520	177	520	8.6K	410.8K	190.5K	2.5M	1.1M	339.7 K	789.8 K
maz	585	170	21.3K	8.2K	452.9K	174K	2.9M	951.7K	304.7 K	971.4 K
qxr	2.6K	153	40.8K	6.4K	761.5K	75.4K	6.6M	724K	186.4 K	1.9 M
shp	874	150	22.4K	3.7K	534.1K	96.8K	3.8M	710.4K	216.9 K	1.2 M
hne	3K	146	118.4K	4.3K	2.3M	139.3K	12M	697K	379.3 K	6.5 M
ktu	3.3K	144	115.5K	7.8K	3.2M	196.9K	18.5M	1.1M	300.1 K	5.4 M
laj	6.5K	144	61K	6.4K	2.4M	140.1K	15.8M	730.5K	233.5 K	4.6 M
pis	1.1K	139	62K	7.2K	1.3M	136.8K	7.7M	764K	212.7 K	2.2 M
mag	631	138	62.6K	22.1K	2.1M	544.2K	10.7M	2.6M	1.4 M	5.4 M
gbm	2.5K	137	50.8K	3.8K	1.7M	99.7K	9.1M	499.6K	282.4 K	4.5 M
tzj	471	136	11.1K	7.3K	299.9K	150.8K	1.9M	884.2K	272.0 K	663.9 K
oj	2.5K	135	2.5K	1.6K	1.2M	35.9K	9.6M	337.1K	117.6 K	3.4 M
ndc_ZW	2.2K	132	2.2K	8.7K	2.2K	132	9.1K	523	343.1 K	2.2 M
tks	63.7K	127	63.7K	6.8K	17.1M	41.5K	88.9M	260.8K	39.5 K	33.0 M
awa	5.8K	126	100.1K	8.4K	2.2M	98.7K	11.1M	475K	226.6 K	5.8 M
gvl	37.9K	126	213K	6.9K	21.1M	161.1K	141M	789.2K	257.8 K	31.7 M
knj	229	126	10.1K	9.2K	202.6K	171.8K	1.1M	855K	253.1 K	345.4 K
spp	733	123	733	5.8K	902.7K	141.8K	4.4M	682.5K	217.8 K	1.4 M
mqy	69.3K	119	309K	2.5K	12.1M	88.6K	78.9M	506.5K	170.4 K	16.3 M
tca	410	117	20K	7.3K	283K	121.5K	2.3M	786K	226.2 K	781.2 K
cce	847	116	23.2K	11K	539.3K	227.2K	3.3M	1.3M	393.8 K	1.1 M
skr	3.8K	107	279.3K	17.1K	6.2M	324K	32.2M	1.7M	768.5 K	15.4 M
kmz_Latn	24K	106	361K	2.4K	24K	106	108.6K	401	231.8 K	16.7 M
dje	913	100	40.2K	3.7K	816.3K	97.5K	4.7M	480.7K	161.2 K	1.5 M
gof	2.8K	97	33.8K	5.5K	703K	68.8K	5.5M	506K	159.1 K	1.7 M
agr	465	93	16.1K	3.6K	295.4K	67.2K	2.3M	554.5K	177.0 K	760.1 K
qvz	534	88	6.8K	3.5K	145.5K	50.5K	1.2M	438.3K	124.2 K	382.7 K
adh	2.6K	87	107.2K	1K	2.4M	42.1K	14.5M	254.9K	84.6 K	5.0 M
quf	522	86	8.4K	5.2K	155.7K	61.8K	1.5M	609K	173.7 K	542.8 K
kjg	113	84	3K	2.9K	67.6K	67K	408.5K	399K	159.2 K	167.7 K
tsc	12.6K	82	12.6K	4K	3.5M	93.1K	23.4M	521.3K	161.9 K	7.0 M
ber	2.7K	79	12.6K	1.2K	1.1M	46.4K	6.4M	265.9K	141.5 K	3.0 M
ify	611	79	19.8K	2.8K	422.7K	56.2K	2.6M	334K	109.5 K	913.1 K
cbk	10.1K	78	43.8K	2K	1.7M	64.3K	10.3M	339.3K	93.4 K	3.4 M
quy	588	78	28.1K	2.7K	423.3K	37.3K	4.5M	368.2K	114.5 K	1.2 M
ahk	244	77	6.2K	4.1K	264K	124.8K	1.3M	715.5K	182.8 K	359.7 K
cac	212	77	3.4K	1.8K	125.7K	54.1K	978.7K	319.8K	95.8 K	280.3 K
akb	1K	71	21.3K	408	870.9K	54.5K	5.2M	337.8K	93.7 K	1.6 M
nut	29K	67	29K	1.5K	4.8M	39.8K	23.5M	184.1K	36.4 K	8.3 M
ffm	1.8K	65	30.1K	2K	745.6K	39.1K	4.6M	236.1K	83.8 K	1.8 M
taj	146	65	21.6K	14.3K	309.7K	203K	2.3M	1.4M	503.0 K	872.7 K
ms_Arab	698	63	698	320	698	63	2.9K	239	64.7 K	1016.0 K
brx	322	62	5.3K	2.4K	144.2K	41K	1.1M	304.4K	146.6 K	515.7 K
ann	464	56	5K	1.6K	116.4K	35.9K	760.9K	215.1K	74.9 K	295.2 K
qup	169	53	4.3K	2.5K	77.5K	31.3K	763.8K	297.8K	74.7 K	207.3 K
ms_Arab_BN	2.6K	46	2.6K	374	2.6K	46	10.5K	171	50.0 K	5.1 M
miq	236	45	6.4K	3.5K	183.7K	80.2K	1.2M	485.6K	157.6 K	384.1 K
msb	811	41	811	1K	705.9K	28.8K	4.4M	167.5K	53.3 K	1.7 M
bim	410	40	31.1K	6.3K	669.8K	167.4K	3.2M	793.4K	252.7 K	1.1 M
raj	1.8K	40	1.8K	5.7K	1.3M	81.1K	7.1M	405K	226.2 K	3.9 M
kwi	382	37	16.9K	2.2K	253.8K	23.4K	1.8M	172.8K	47.6 K	536.2 K
tll	200	37	200	2.7K	304.2K	62.2K	2.2M	409.8K	132.3 K	664.5 K
trp	12.8K	36	12.8K	1.7K	4.1M	39K	29.9M	257.3K	87.5 K	10.2 M
smt	1.4K	34	1.4K	703	1M	36.5K	6.8M	245.4K	87.9 K	2.5 M
mrw	11.3K	29	11.3K	1K	4.2M	45.7K	27.8M	257.2K	81.3 K	8.8 M
dln	236	28	5.2K	969	150.8K	21.5K	860.5K	118.3K	36.8 K	280.3 K
qvc	3.4K	27	14.6K	2.2K	495.7K	25.7K	5M	233.7K	65.3 K	2.6 M
doi	1.7K	26	21.8K	975	568.7K	25.5K	3.2M	135.3K	66.7 K	1.6 M
ff	13.6K	26	150K	5K	3.4M	46.5K	22.8M	277.6K	78.8 K	8.5 M

Citation Information

@misc{kudugunta2023madlad400,
      title={MADLAD-400: A Multilingual And Document-Level Large Audited Dataset}, 
      author={Sneha Kudugunta and Isaac Caswell and Biao Zhang and Xavier Garcia and Christopher A. Choquette-Choo and Katherine Lee and Derrick Xin and Aditya Kusupati and Romi Stella and Ankur Bapna and Orhan Firat},
      year={2023},
      eprint={2309.04662},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}