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sabuw
atube
imaim
anayabin
Regah
imih
gewasin
Anayabin
bowabow
kakafin
Sabuw
tafaram
merar
babin
Imih
kakafih
maiyow
ufununayah
anababatun
amaim
aiwob
ufunamaim
hibai
ofafar
itube
wanawananamaim
maramaim
Imaibo
turobe
sinaf
wanatowan
Kakafiyin
morob
baitumatum
kwanekwan
tounamatar
moumurih
ukwarin
harew
taiyuwin
iuwih
kwanab
dinab
akokok
ukwarih
wanawanahimaim
kwanama
naniyan
faifuw
ufunun
marasika
nanamaim
marakaw
hibow
akisin
wairafin
tufuw
umaim
dogor
morobone
taiyuw
wairafih
abistan
imaibo
gewasih
firis
hirun
Atamaninamaim
natunatun
hinowar
hinonowar
kabeber
gagamih
Ufun
boubun
akisinamo
taiyuwih
obaiyen
uwih
wanawanamaim
hinao
ekaleisia
hikirum
tounu
baitumatumayah
biyababan
kokomaim
tafanamaim
taituwa
wabinamaim
yomanin
obaiyih
biyanamaim
tafaramamaim
baibin
anowar
iyafutih
koufair
Ofafar
obaiyi
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GlotLID Wordlists

This is a set of wordlists extracted from the GlotLID-corpus for high-precision filtering of FineWeb2.

Download

The recommended way to download the data is via git clone:

git clone https://huggingface.co/datasets/cis-lmu/glotlid-wordlists

Method and Usage for Precision Filtering

For details on the filtering method, please refer to the FineWeb2 paper. Each word listed occurs significantly more often in its own language dataset than in any other language. The higher a word ranks in each language's filter list, the more frequently it appears in that language.

You can also check out the filter.py script for an example of how to use wordlists in practice.

Citation

If you find the wordlists useful, please cite both the GlotLID and FineWeb2 papers:

GlotLID paper (link):

@inproceedings{
  kargaran2023glotlid,
  title={{GlotLID}: Language Identification for Low-Resource Languages},
  author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich},
  booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
  year={2023},
  url={https://openreview.net/forum?id=dl4e3EBz5j}
}

FineWeb2 paper (link):

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