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Datasets:
NagaYu
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tessera-mixed-pages

Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-label-classification
Languages:
multilingual
Size:
10K - 100K
Tags:
language-identification
low-resource-languages
code-switching
span-classification
Synthetic
Libraries:
Datasets
pandas
Polars
License:
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tessera-mixed-pages / README.md
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metadata 
license: cc-by-sa-4.0
task_categories:
  - token-classification
task_ids:
  - multi-label-classification
language:
  - multilingual
tags:
  - language-identification
  - low-resource-languages
  - code-switching
  - span-classification
  - synthetic
size_categories:
  - 10K<n<100K
annotations_creators:
  - machine-generated
source_datasets:
  - cis-lmu/udhr-lid
  - facebook/flores
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.parquet
      - split: validation
        path: validation.parquet
      - split: test
        path: test.parquet
      - split: test_adversarial
        path: test_adversarial.parquet
      - split: test_romanized
        path: test_romanized.parquet

Tessera mixed-page corpus

Synthetic multilingual web pages with exact span boundaries and multi-label language annotations, for training and evaluating span-level language identification.

Why this is synthetic, stated up front

No public corpus annotates span boundaries and languages inside real multilingual web pages at scale. Annotating one by hand across 479 languages, most of them low-resource, is not feasible and would itself be error-prone in exactly the places that matter most.

So the gold labels here are constructive: each document is assembled from source sentences of known language, and each span's offsets and language are recorded as it is placed. The boundaries are exact by definition.

The cost is real and is not hidden: the difficulty of this corpus was chosen by its authors. Results measured on it are labelled synthetic wherever they appear, and the accompanying repository reports real-data checks separately.

Contents

split documents spans languages spans <= 20 chars multi-label spans
train 30,000 561,368 578 52.89% 16.47%
validation 3,000 56,117 534 55.08% 18.25%
test 4,000 74,200 549 55.08% 18.31%
test_adversarial 2,500 47,086 576 55.62% 25.49%
test_romanized 2,500 47,162 114 48.58% 8.66%

test_adversarial applies every degradation layer aggressively. test_romanized contains only non-Latin-script body languages, romanised with probability 1.0.

How a document is built

Pages imitate real furniture, because that furniture is why document-level LID discards low-resource text: navigation, footers, advertising and copyright lines are very often English even on a page whose body is not.

Archetypes:

  • buried_body -- body in a mid/tail language, chrome in English. Document-level LID labels the page English, and the body is lost.
  • buried_minority -- body in English with a quote or comment block in another language. The document survives filtering as English, and the minority text is silently absorbed into an English corpus.
  • codeswitch_heavy, short_span_heavy, monolingual (control).

Degradation layers

shorten (5-20 chars), informalize (repetition, emoji, case, punctuation, abbreviation, typos -- all script-generic, no English-specific slang), romanize, codeswitch, mojibake (encoding round-trip damage), html_residue. Each span records which layers were applied, so results can be stratified by condition.

Multi-label definition

Two kinds of multi-label, scored differently, and which labels are correct is measured rather than asserted:

  • any (alternatives). A string attested in several languages' source corpora gets all of them. The token Massa is attested in dozens of Latin-script languages; any one is correct, and predicting all of them earns no extra credit.
  • all (code-switching). The span really contains every listed language, so each is separately required.
  • script_only. Digits, punctuation and symbols get und and are scored on whether a system declines to name a language.

primary always records the language the text was actually sampled from, so recall-per-language can never be inflated by permissive alternates.

Sources and licensing

source licence redistributable share-alike
UDHR-LID (cis-lmu/udhr-lid) CC0-1.0 True False
FLORES-200 CC-BY-SA-4.0 True True

Effective licence: CC-BY-SA-4.0. FLORES-200 is CC-BY-SA-4.0 and its share-alike term propagates to any corpus containing its sentences.

No scraped web text is redistributed. Only material whose licence permits redistribution is published.

Resource tiers

Defined operationally, not editorially: head = in fastText lid.176's label space, mid = absent from that but present in GlotLID or OpenLID, tail = covered by no evaluated document-level LID. Counts: {'tail': 50, 'mid': 282, 'head': 147}.

Known weaknesses

Please read these before using this corpus for anything consequential.

  1. Register. UDHR is formal legal prose and FLORES is encyclopaedic. Neither is conversational. The informalize layer approximates informality; it does not sample it from real usage.
  2. Romanisation is systematic transliteration, not attested user romanisation. Real users writing Hindi or Tigrinya in Latin script do not follow a transliteration standard. Anything trained or evaluated on this layer is measuring an approximation, and Han, Kana and Hangul are excluded entirely because character-reading transliteration produces text no human would write.
  3. Page structure is templated. Five archetypes cannot cover the real diversity of the web.
  4. Sentence counts are very uneven. Some languages have 40 UDHR sentences and others have 997 FLORES sentences; the per-language table below gives the exact figure, and any per-language claim should be read against it.
  5. Language identity is contested for some codes. Where a macrolanguage and its varieties both appear, the labels follow the source corpus's choices, which are not neutral and may not match a speaker community's own view.
  6. Tail languages are only 50 of the 479 here. GlotLID covers 2,102 labels, so the population most at risk in this corpus is mid: languages that existing LID knows but that document-level application discards anyway.

Language coverage

code script source sentences sources
aar_Latn Latn 57 udhr
abk_Cyrl Cyrl 57 udhr
ace_Arab Arab 997 flores
ace_Latn Latn 1058 flores, udhr
acm_Arab Arab 997 flores
acq_Arab Arab 997 flores
acu_Latn Latn 180 udhr
ada_Latn Latn 59 udhr
ady_Cyrl Cyrl 56 udhr
aeb_Arab Arab 997 flores
afr_Latn Latn 1057 flores, udhr
agr_Latn Latn 57 udhr
aii_Syrc Syrc 57 udhr
ajg_Latn Latn 59 udhr
ajp_Arab Arab 997 flores
aka_Latn Latn 997 flores
als_Latn Latn 1056 flores, udhr
alt_Cyrl Cyrl 51 udhr
amc_Latn Latn 56 udhr
ame_Latn Latn 59 udhr
amh_Ethi Ethi 1048 flores, udhr
ami_Latn Latn 58 udhr
amr_Latn Latn 61 udhr
apc_Arab Arab 997 flores
arb_Arab Arab 1055 flores, udhr
arb_Latn Latn 997 flores
arl_Latn Latn 60 udhr
arn_Latn Latn 58 udhr
ars_Arab Arab 997 flores
ary_Arab Arab 997 flores
arz_Arab Arab 997 flores
asm_Beng Beng 997 flores
ast_Latn Latn 1055 flores, udhr
auc_Latn Latn 154 udhr
awa_Deva Deva 997 flores
ayr_Latn Latn 1056 flores, udhr
azb_Arab Arab 997 flores
azj_Cyrl Cyrl 56 udhr
azj_Latn Latn 1055 flores, udhr
bak_Cyrl Cyrl 997 flores
bam_Latn Latn 1054 flores, udhr
ban_Latn Latn 1057 flores, udhr
bax_Latn Latn 58 udhr
bba_Latn Latn 58 udhr
bci_Latn Latn 58 udhr
bcl_Latn Latn 59 udhr
bel_Cyrl Cyrl 1055 flores, udhr
bem_Latn Latn 1054 flores, udhr
ben_Beng Beng 1055 flores, udhr
bfa_Latn Latn 42 udhr
bho_Deva Deva 1053 flores, udhr
bin_Latn Latn 47 udhr
bis_Latn Latn 59 udhr
bjn_Arab Arab 997 flores
bjn_Latn Latn 997 flores
blt_Tavt Tavt 55 udhr
boa_Latn Latn 61 udhr
bod_Tibt Tibt 1057 flores, udhr
bos_Cyrl Cyrl 59 udhr
bos_Latn Latn 1056 flores, udhr
bre_Latn Latn 59 udhr
buc_Latn Latn 57 udhr
bug_Latn Latn 1057 flores, udhr
bul_Cyrl Cyrl 1055 flores, udhr
bum_Latn Latn 58 udhr
cab_Latn Latn 60 udhr
cak_Latn Latn 57 udhr
cat_Latn Latn 1055 flores, udhr
cbi_Latn Latn 62 udhr
cbr_Latn Latn 60 udhr
cbs_Latn Latn 43 udhr
cbt_Latn Latn 57 udhr
cbu_Latn Latn 57 udhr
ccp_Cakm Cakm 62 udhr
ceb_Latn Latn 1056 flores, udhr
ces_Latn Latn 1055 flores, udhr
cfm_Latn Latn 57 udhr
cha_Latn Latn 57 udhr
chj_Latn Latn 59 udhr
chk_Latn Latn 58 udhr
chr_Cher Cher 115 udhr
chv_Cyrl Cyrl 25 udhr
cic_Latn Latn 60 udhr
cjk_Latn Latn 1111 flores, udhr
cjs_Cyrl Cyrl 59 udhr
cjy_Hani Hani 58 udhr
ckb_Arab Arab 997 flores
cmn_Hani Hani 363 udhr
cnh_Latn Latn 58 udhr
cni_Latn Latn 52 udhr
cnr_Latn Latn 59 udhr
cof_Latn Latn 59 udhr
cos_Latn Latn 59 udhr
cot_Latn Latn 60 udhr
cpu_Latn Latn 60 udhr
crh_Latn Latn 1056 flores, udhr
cri_Latn Latn 58 udhr
crs_Latn Latn 58 udhr
csa_Latn Latn 57 udhr
csw_Cans Cans 43 udhr
ctd_Latn Latn 60 udhr
cym_Latn Latn 1057 flores, udhr
dag_Latn Latn 57 udhr
dan_Latn Latn 1058 flores, udhr
ddn_Latn Latn 58 udhr
deu_Latn Latn 1064 flores, udhr
dga_Latn Latn 59 udhr
dik_Latn Latn 997 flores
dip_Latn Latn 57 udhr
div_Thaa Thaa 57 udhr
dje_Latn Latn 54 udhr
duu_Latn Latn 57 udhr
dyo_Latn Latn 55 udhr
dyu_Latn Latn 1055 flores, udhr
dzo_Tibt Tibt 1056 flores, udhr
ekk_Latn Latn 60 udhr
ell_Grek Grek 1113 flores, udhr
emk_Latn Latn 58 udhr
eng_Latn Latn 1055 flores, udhr
epo_Latn Latn 1055 flores, udhr
ese_Latn Latn 35 udhr
est_Latn Latn 997 flores
eus_Latn Latn 1056 flores, udhr
eve_Cyrl Cyrl 49 udhr
evn_Cyrl Cyrl 57 udhr
ewe_Latn Latn 1056 flores, udhr
fao_Latn Latn 1054 flores, udhr
fat_Latn Latn 57 udhr
fij_Latn Latn 1056 flores, udhr
fin_Latn Latn 1058 flores, udhr
fkv_Latn Latn 58 udhr
fon_Latn Latn 1055 flores, udhr
fra_Latn Latn 1055 flores, udhr
fry_Latn Latn 58 udhr
fuf_Adlm Adlm 58 udhr
fuf_Latn Latn 58 udhr
fur_Latn Latn 1056 flores, udhr
fuv_Latn Latn 1105 flores, udhr
fvr_Latn Latn 57 udhr
gaa_Latn Latn 59 udhr
gag_Latn Latn 59 udhr
gan_Hani Hani 58 udhr
gaz_Latn Latn 1057 flores, udhr
gej_Latn Latn 58 udhr
gjn_Latn Latn 60 udhr
gkp_Latn Latn 56 udhr
gla_Latn Latn 1059 flores, udhr
gld_Cyrl Cyrl 59 udhr
gle_Latn Latn 1053 flores, udhr
glg_Latn Latn 1055 flores, udhr
glv_Latn Latn 58 udhr
grn_Latn Latn 997 flores
gsw_Latn Latn 59 udhr
guc_Latn Latn 58 udhr
gug_Latn Latn 49 udhr
guj_Gujr Gujr 1055 flores, udhr
guk_Latn Latn 55 udhr
guu_Latn Latn 58 udhr
gyr_Latn Latn 49 udhr
hak_Hani Hani 57 udhr
hat_Latn Latn 1114 flores, udhr
hau_Latn Latn 1152 flores, udhr
haw_Latn Latn 58 udhr
hea_Latn Latn 58 udhr
heb_Hebr Hebr 1055 flores, udhr
hil_Latn Latn 58 udhr
hin_Deva Deva 1057 flores, udhr
hlt_Latn Latn 55 udhr
hms_Latn Latn 59 udhr
hne_Deva Deva 997 flores
hni_Latn Latn 57 udhr
hnj_Latn Latn 58 udhr
hns_Latn Latn 59 udhr
hrv_Latn Latn 1055 flores, udhr
hsb_Latn Latn 59 udhr
hsn_Hani Hani 58 udhr
hun_Latn Latn 1056 flores, udhr
hus_Latn Latn 175 udhr
huu_Latn Latn 58 udhr
hye_Armn Armn 1068 flores, udhr
ibb_Latn Latn 67 udhr
ibo_Latn Latn 1055 flores, udhr
ido_Latn Latn 55 udhr
idu_Latn Latn 51 udhr
iii_Yiii Yiii 57 udhr
ijs_Latn Latn 50 udhr
ike_Cans Cans 44 udhr
ilo_Latn Latn 1055 flores, udhr
ina_Latn Latn 58 udhr
ind_Latn Latn 1057 flores, udhr
isl_Latn Latn 1055 flores, udhr
ita_Latn Latn 1055 flores, udhr
jav_Java Java 62 udhr
jav_Latn Latn 1057 flores, udhr
jiv_Latn Latn 60 udhr
jpn_Jpan Jpan 1140 flores, udhr
kaa_Cyrl Cyrl 58 udhr
kab_Latn Latn 1055 flores, udhr
kac_Latn Latn 997 flores
kal_Latn Latn 58 udhr
kam_Latn Latn 997 flores
kan_Knda Knda 1055 flores, udhr
kas_Arab Arab 997 flores
kas_Deva Deva 997 flores
kat_Geor Geor 1055 flores, udhr
kaz_Cyrl Cyrl 1055 flores, udhr
kbd_Cyrl Cyrl 55 udhr
kbp_Latn Latn 1056 flores, udhr
kbr_Latn Latn 59 udhr
kde_Latn Latn 51 udhr
kdh_Latn Latn 59 udhr
kea_Latn Latn 1055 flores, udhr
kek_Latn Latn 57 udhr
kha_Latn Latn 58 udhr
khk_Cyrl Cyrl 1054 flores, udhr
khm_Khmr Khmr 1056 flores, udhr
kik_Latn Latn 997 flores
kin_Latn Latn 1056 flores, udhr
kir_Cyrl Cyrl 1055 flores, udhr
kjh_Cyrl Cyrl 57 udhr
kkh_Lana Lana 51 udhr
kmb_Latn Latn 1113 flores, udhr
kmr_Latn Latn 1055 flores, udhr
knc_Arab Arab 997 flores
knc_Latn Latn 1061 flores, udhr
kng_Latn Latn 115 udhr
koi_Cyrl Cyrl 57 udhr
kon_Latn Latn 997 flores
koo_Latn Latn 54 udhr
kor_Hang Hang 1055 flores, udhr
kqn_Latn Latn 59 udhr
kqs_Latn Latn 58 udhr
kri_Latn Latn 58 udhr
krl_Latn Latn 183 udhr
ktu_Latn Latn 118 udhr
kwi_Latn Latn 145 udhr
lad_Latn Latn 58 udhr
lao_Laoo Laoo 1054 flores, udhr
lat_Latn Latn 118 udhr
lia_Latn Latn 45 udhr
lij_Latn Latn 1055 flores, udhr
lim_Latn Latn 997 flores
lin_Latn Latn 1107 flores, udhr
lit_Latn Latn 1055 flores, udhr
lld_Latn Latn 59 udhr
lmo_Latn Latn 997 flores
lns_Latn Latn 57 udhr
lob_Latn Latn 58 udhr
lot_Latn Latn 140 udhr
loz_Latn Latn 58 udhr
ltg_Latn Latn 997 flores
ltz_Latn Latn 1056 flores, udhr
lua_Latn Latn 1055 flores, udhr
lue_Latn Latn 58 udhr
lug_Latn Latn 1046 flores, udhr
lun_Latn Latn 56 udhr
luo_Latn Latn 997 flores
lus_Latn Latn 1055 flores, udhr
lvs_Latn Latn 1112 flores, udhr
mad_Latn Latn 60 udhr
mag_Deva Deva 1050 flores, udhr
mah_Latn Latn 58 udhr
mai_Deva Deva 1055 flores, udhr
mal_Mlym Mlym 1097 flores, udhr
mam_Latn Latn 58 udhr
mar_Deva Deva 1056 flores, udhr
maz_Latn Latn 59 udhr
mcd_Latn Latn 60 udhr
mcf_Latn Latn 62 udhr
men_Latn Latn 59 udhr
mfq_Latn Latn 58 udhr
mic_Latn Latn 59 udhr
min_Arab Arab 997 flores
min_Latn Latn 1056 flores, udhr
miq_Latn Latn 51 udhr
mkd_Cyrl Cyrl 1055 flores, udhr
mlt_Latn Latn 1056 flores, udhr
mni_Beng Beng 997 flores
mnw_Mymr Mymr 56 udhr
mor_Latn Latn 59 udhr
mos_Latn Latn 1053 flores, udhr
mri_Latn Latn 1054 flores, udhr
mto_Latn Latn 51 udhr
mxi_Latn Latn 58 udhr
mxv_Latn Latn 58 udhr
mya_Mymr Mymr 1053 flores, udhr
mzi_Latn Latn 58 udhr
nan_Hani Hani 58 udhr
nav_Latn Latn 59 udhr
nba_Latn Latn 59 udhr
nbl_Latn Latn 58 udhr
ndo_Latn Latn 58 udhr
nds_Latn Latn 58 udhr
nhn_Latn Latn 58 udhr
nio_Cyrl Cyrl 51 udhr
niu_Latn Latn 58 udhr
niv_Cyrl Cyrl 56 udhr
njo_Latn Latn 64 udhr
nku_Latn Latn 52 udhr
nld_Latn Latn 1055 flores, udhr
nno_Latn Latn 1055 flores, udhr
nob_Latn Latn 1059 flores, udhr
not_Latn Latn 59 udhr
npi_Deva Deva 1052 flores, udhr
nso_Latn Latn 1055 flores, udhr
nus_Latn Latn 997 flores
nya_Latn Latn 1113 flores, udhr
nym_Latn Latn 49 udhr
nyn_Latn Latn 50 udhr
nzi_Latn Latn 59 udhr
oaa_Cyrl Cyrl 58 udhr
oci_Latn Latn 1395 flores, udhr
ojb_Cans Cans 44 udhr
oki_Latn Latn 59 udhr
orh_Latn Latn 59 udhr
ory_Orya Orya 997 flores
oss_Cyrl Cyrl 44 udhr
ote_Latn Latn 59 udhr
pag_Latn Latn 997 flores
pam_Latn Latn 66 udhr
pan_Guru Guru 1055 flores, udhr
pap_Latn Latn 1055 flores, udhr
pau_Latn Latn 57 udhr
pbb_Latn Latn 56 udhr
pbt_Arab Arab 997 flores
pbu_Arab Arab 59 udhr
pcd_Latn Latn 58 udhr
pcm_Latn Latn 56 udhr
pes_Arab Arab 1055 flores, udhr
pis_Latn Latn 57 udhr
piu_Latn Latn 57 udhr
plt_Latn Latn 1050 flores, udhr
pnb_Arab Arab 61 udhr
pol_Latn Latn 1056 flores, udhr
pon_Latn Latn 57 udhr
por_Latn Latn 1112 flores, udhr
pov_Latn Latn 115 udhr
ppl_Latn Latn 59 udhr
prs_Arab Arab 1053 flores, udhr
quc_Latn Latn 58 udhr
que_Latn Latn 58 udhr
qug_Latn Latn 182 udhr
quh_Latn Latn 57 udhr
quy_Latn Latn 1057 flores, udhr
quz_Latn Latn 57 udhr
qva_Latn Latn 59 udhr
qvc_Latn Latn 58 udhr
qvh_Latn Latn 58 udhr
qvm_Latn Latn 60 udhr
qvn_Latn Latn 57 udhr
qwh_Latn Latn 59 udhr
qxn_Latn Latn 57 udhr
qxu_Latn Latn 54 udhr
rar_Latn Latn 59 udhr
rgn_Latn Latn 58 udhr
rmn_Latn Latn 116 udhr
roh_Latn Latn 399 udhr
ron_Latn Latn 1094 flores, udhr
run_Latn Latn 1055 flores, udhr
rup_Latn Latn 57 udhr
rus_Cyrl Cyrl 1055 flores, udhr
sag_Latn Latn 1056 flores, udhr
sah_Cyrl Cyrl 57 udhr
san_Deva Deva 1052 flores, udhr
san_Gran Gran 51 udhr
sat_Olck Olck 997 flores
scn_Latn Latn 997 flores
sco_Latn Latn 58 udhr
sey_Latn Latn 61 udhr
shk_Latn Latn 55 udhr
shn_Mymr Mymr 1053 flores, udhr
shp_Latn Latn 62 udhr
sid_Latn Latn 57 udhr
sin_Sinh Sinh 1056 flores, udhr
skr_Arab Arab 63 udhr
slk_Latn Latn 1053 flores, udhr
slr_Latn Latn 58 udhr
slv_Latn Latn 1056 flores, udhr
sme_Latn Latn 58 udhr
smo_Latn Latn 1060 flores, udhr
sna_Latn Latn 1057 flores, udhr
snd_Arab Arab 997 flores
snk_Latn Latn 58 udhr
snn_Latn Latn 136 udhr
som_Latn Latn 1054 flores, udhr
sot_Latn Latn 1054 flores, udhr
spa_Latn Latn 1075 flores, udhr
src_Latn Latn 59 udhr
srd_Latn Latn 997 flores
srp_Cyrl Cyrl 1056 flores, udhr
srp_Latn Latn 59 udhr
srr_Latn Latn 58 udhr
ssw_Latn Latn 1057 flores, udhr
suk_Latn Latn 58 udhr
sun_Latn Latn 1063 flores, udhr
sus_Latn Latn 58 udhr
swb_Latn Latn 58 udhr
swe_Latn Latn 1058 flores, udhr
swh_Latn Latn 1055 flores, udhr
szl_Latn Latn 997 flores
tah_Latn Latn 57 udhr
tam_Taml Taml 1066 flores, udhr
taq_Latn Latn 997 flores
taq_Tfng Tfng 997 flores
tat_Cyrl Cyrl 1054 flores, udhr
tbz_Latn Latn 60 udhr
tca_Latn Latn 60 udhr
tdt_Latn Latn 57 udhr
tel_Telu Telu 1055 flores, udhr
tem_Latn Latn 55 udhr
tet_Latn Latn 58 udhr
tgk_Cyrl Cyrl 1054 flores, udhr
tgl_Latn Latn 1057 flores, udhr
tha_Thai Thai 1111 flores, udhr
tir_Ethi Ethi 1055 flores, udhr
tiv_Latn Latn 67 udhr
tly_Latn Latn 59 udhr
tob_Latn Latn 59 udhr
toi_Latn Latn 57 udhr
toj_Latn Latn 57 udhr
ton_Latn Latn 60 udhr
top_Latn Latn 59 udhr
tpi_Latn Latn 1055 flores, udhr
tsn_Latn Latn 1055 flores, udhr
tso_Latn Latn 1111 flores, udhr
tsz_Latn Latn 59 udhr
tuk_Cyrl Cyrl 57 udhr
tuk_Latn Latn 1056 flores, udhr
tum_Latn Latn 997 flores
tur_Latn Latn 1056 flores, udhr
twi_Latn Latn 1113 flores, udhr
tyv_Cyrl Cyrl 58 udhr
tzh_Latn Latn 25 udhr
tzm_Tfng Tfng 998 flores, udhr
tzo_Latn Latn 58 udhr
udu_Latn Latn 60 udhr
uig_Arab Arab 1055 flores, udhr
uig_Latn Latn 59 udhr
ukr_Cyrl Cyrl 1055 flores, udhr
umb_Latn Latn 1104 flores, udhr
ura_Latn Latn 56 udhr
urd_Arab Arab 1105 flores, udhr
uzn_Cyrl Cyrl 58 udhr
uzn_Latn Latn 1055 flores, udhr
vai_Vaii Vaii 61 udhr
vec_Latn Latn 1055 flores, udhr
ven_Latn Latn 89 udhr
vep_Latn Latn 58 udhr
vie_Latn Latn 1057 flores, udhr
vmw_Latn Latn 58 udhr
war_Latn Latn 1057 flores, udhr
wln_Latn Latn 59 udhr
wol_Latn Latn 1057 flores, udhr
wuu_Hani Hani 58 udhr
wwa_Latn Latn 39 udhr
xho_Latn Latn 1055 flores, udhr
xsm_Latn Latn 59 udhr
yad_Latn Latn 55 udhr
yao_Latn Latn 52 udhr
yap_Latn Latn 58 udhr
ydd_Hebr Hebr 1056 flores, udhr
ykg_Cyrl Cyrl 51 udhr
yor_Latn Latn 1054 flores, udhr
yrk_Cyrl Cyrl 55 udhr
yua_Latn Latn 59 udhr
yue_Hani Hani 59 udhr
yue_Hant Hant 997 flores
zam_Latn Latn 60 udhr
zdj_Latn Latn 50 udhr
zgh_Tfng Tfng 61 udhr
zho_Hans Hans 997 flores
zho_Hant Hant 997 flores
zlm_Arab Arab 24 udhr
zlm_Latn Latn 58 udhr
zro_Latn Latn 56 udhr
zsm_Latn Latn 997 flores
ztu_Latn Latn 58 udhr
zul_Latn Latn 1055 flores, udhr
zyb_Latn Latn 57 udhr

Links

Citation

Built with Tessera -- span-level multi-label language identification. Repository: NagaYu/tessera-mixed-pages.