README.md

---
license: odc-by
task_categories:
- text-generation
- translation
pretty_name: FineTranslations
size_categories:
- n>1T
language:
 - abk
 - abq
 - abs
 - acm
 - adh
 - adi
 - ady
 - aeb
 - afr
 - agx
 - aii
 - aim
 - ain
 - ajz
 - akb
 - aln
 - als
 - alt
 - amh
 - anp
 - aoz
 - apc
 - apt
 - arb
 - arg
 - arq
 - ars
 - ary
 - arz
 - asm
 - ast
 - atb
 - ava
 - awa
 - ayp
 - ayr
 - azb
 - azj
 - bak
 - bam
 - ban
 - bar
 - bas
 - bbc
 - bbk
 - bcl
 - bdq
 - bel
 - ben
 - bew
 - bho
 - bhp
 - bis
 - biu
 - bjn
 - bod
 - bos
 - brh
 - brx
 - bts
 - btx
 - bug
 - bul
 - bwi
 - bxr
 - cat
 - cbk
 - ccp
 - ceb
 - ces
 - cfm
 - cha
 - che
 - chr
 - chu
 - chv
 - cjs
 - ckb
 - ckt
 - cmn
 - cnh
 - cnw
 - cos
 - crh
 - crj
 - crk
 - crl
 - crs
 - csb
 - csw
 - csy
 - ctd
 - cym
 - czt
 - dak
 - dan
 - dar
 - deu
 - dik
 - diu
 - div
 - dje
 - dks
 - dln
 - dng
 - dnw
 - doi
 - dru
 - dsb
 - dtp
 - dty
 - dzo
 - ekk
 - ell
 - enl
 - enm
 - epo
 - ess
 - eus
 - eve
 - ewo
 - ext
 - fao
 - fas
 - ffm
 - fij
 - fil
 - fin
 - fit
 - fkv
 - fmu
 - fra
 - fro
 - frp
 - fry
 - fuf
 - fur
 - fuv
 - gag
 - gaz
 - gcf
 - gla
 - gle
 - glg
 - glk
 - glv
 - gmh
 - gnb
 - goh
 - gom
 - gos
 - grc
 - gsw
 - gug
 - guj
 - guz
 - hac
 - hae
 - hak
 - hat
 - hau
 - haw
 - hbo
 - heb
 - her
 - hif
 - hil
 - hin
 - hmr
 - hne
 - hns
 - hrv
 - hrx
 - hsb
 - hun
 - hwc
 - hye
 - hyw
 - iba
 - ibg
 - ibo
 - ife
 - ike
 - ikt
 - ilo
 - ina
 - ind
 - inh
 - isl
 - ita
 - ivv
 - jav
 - jpn
 - jun
 - kaa
 - kab
 - kac
 - kak
 - kal
 - kam
 - kan
 - kas
 - kat
 - kaz
 - kbd
 - kca
 - kdh
 - kdr
 - kea
 - kei
 - kgp
 - kha
 - khk
 - khm
 - kik
 - kin
 - kir
 - kiu
 - kjb
 - kjh
 - kmr
 - knc
 - koi
 - kor
 - kos
 - kpv
 - krj
 - krl
 - kru
 - ksh
 - ksw
 - ktj
 - ktz
 - kua
 - kum
 - kwn
 - kyu
 - kzj
 - lad
 - lao
 - lat
 - lbe
 - ldn
 - lew
 - lez
 - lfn
 - lim
 - lin
 - lis
 - lit
 - lki
 - lld
 - lmk
 - lnd
 - lrc
 - ltg
 - ltz
 - lud
 - lug
 - luo
 - lus
 - lvs
 - lwg
 - lzh
 - mag
 - mah
 - mai
 - mak
 - mal
 - mar
 - mas
 - mbf
 - mdf
 - mer
 - mfe
 - mfg
 - mfy
 - mhi
 - mhr
 - mhy
 - min
 - mip
 - mjw
 - mkd
 - mlt
 - mni
 - mnk
 - mns
 - mnw
 - moh
 - mph
 - mqy
 - mri
 - mrj
 - mrw
 - mtg
 - mui
 - mup
 - mus
 - mvp
 - mwf
 - mwl
 - mww
 - mya
 - myv
 - myx
 - mzh
 - nah
 - nan
 - nap
 - naq
 - nbu
 - nde
 - ndo
 - nds
 - new
 - nio
 - njn
 - njo
 - nld
 - nmf
 - nmz
 - nno
 - nob
 - nog
 - non
 - npi
 - npo
 - nrf
 - nri
 - nrm
 - nse
 - nus
 - nya
 - nyn
 - nzm
 - obo
 - oci
 - ojb
 - olo
 - orv
 - ory
 - oss
 - ota
 - oto
 - otw
 - pam
 - pan
 - pap
 - pbt
 - pcd
 - pck
 - pcm
 - pfl
 - plt
 - pmq
 - pmx
 - pnb
 - pnt
 - pol
 - por
 - pov
 - ppk
 - pps
 - prg
 - pui
 - pxm
 - quc
 - qul
 - qup
 - qus
 - quz
 - raw
 - rcf
 - rel
 - rhg
 - ria
 - rjs
 - rmc
 - rml
 - rmn
 - rmy
 - rnl
 - roh
 - ron
 - rtm
 - rue
 - run
 - rus
 - sah
 - san
 - sat
 - sck
 - scn
 - sda
 - sdc
 - sdh
 - ses
 - sgc
 - sgh
 - sid
 - sin
 - sju
 - skr
 - slk
 - slv
 - sma
 - sme
 - smj
 - smn
 - smo
 - sms
 - smt
 - sna
 - snd
 - som
 - sot
 - spa
 - srd
 - srp
 - ssw
 - sun
 - swe
 - swg
 - swh
 - syc
 - syl
 - szl
 - tab
 - tam
 - taq
 - tat
 - tcy
 - tcz
 - tel
 - tet
 - tgk
 - tha
 - thl
 - tig
 - tir
 - tkl
 - tkr
 - tlh
 - tly
 - tok
 - ton
 - tpi
 - tpw
 - trc
 - trp
 - trs
 - ttj
 - tuk
 - tur
 - tuv
 - twx
 - tyv
 - tzl
 - tzm
 - udm
 - uig
 - ukr
 - urd
 - uzn
 - uzs
 - vap
 - vie
 - vot
 - vro
 - war
 - way
 - wba
 - wbm
 - wes
 - whk
 - wlx
 - wol
 - wsg
 - wwa
 - xal
 - xho
 - xmm
 - xmv
 - xog
 - yaz
 - ydd
 - yor
 - yrk
 - yrl
 - yua
 - yue
 - zea
 - zgh
 - zom
 - zsm
 - zul
configs:
  - config_name: all
    data_files: data/*/*
  - config_name: abk_Cyrl
    data_files: data/abk_Cyrl/*
  - config_name: abq_Cyrl
    data_files: data/abq_Cyrl/*
  - config_name: abs_Latn
    data_files: data/abs_Latn/*
  - config_name: acm_Arab
    data_files: data/acm_Arab/*
  - config_name: adh_Latn
    data_files: data/adh_Latn/*
  - config_name: adi_Latn
    data_files: data/adi_Latn/*
  - config_name: ady_Cyrl
    data_files: data/ady_Cyrl/*
  - config_name: aeb_Arab
    data_files: data/aeb_Arab/*
  - config_name: afr_Latn
    data_files: data/afr_Latn/*
  - config_name: agx_Cyrl
    data_files: data/agx_Cyrl/*
  - config_name: aii_Syrc
    data_files: data/aii_Syrc/*
  - config_name: aim_Latn
    data_files: data/aim_Latn/*
  - config_name: ain_Latn
    data_files: data/ain_Latn/*
  - config_name: ajz_Latn
    data_files: data/ajz_Latn/*
  - config_name: akb_Latn
    data_files: data/akb_Latn/*
  - config_name: aln_Latn
    data_files: data/aln_Latn/*
  - config_name: als_Latn
    data_files: data/als_Latn/*
  - config_name: alt_Cyrl
    data_files: data/alt_Cyrl/*
  - config_name: amh_Ethi
    data_files: data/amh_Ethi/*
  - config_name: anp_Deva
    data_files: data/anp_Deva/*
  - config_name: aoz_Latn
    data_files: data/aoz_Latn/*
  - config_name: apc_Arab
    data_files: data/apc_Arab/*
  - config_name: apt_Latn
    data_files: data/apt_Latn/*
  - config_name: arb_Arab
    data_files: data/arb_Arab/*
  - config_name: arb_Latn
    data_files: data/arb_Latn/*
  - config_name: arg_Latn
    data_files: data/arg_Latn/*
  - config_name: arq_Arab
    data_files: data/arq_Arab/*
  - config_name: ars_Arab
    data_files: data/ars_Arab/*
  - config_name: ary_Arab
    data_files: data/ary_Arab/*
  - config_name: arz_Arab
    data_files: data/arz_Arab/*
  - config_name: asm_Beng
    data_files: data/asm_Beng/*
  - config_name: asm_Latn
    data_files: data/asm_Latn/*
  - config_name: ast_Latn
    data_files: data/ast_Latn/*
  - config_name: atb_Latn
    data_files: data/atb_Latn/*
  - config_name: ava_Cyrl
    data_files: data/ava_Cyrl/*
  - config_name: awa_Deva
    data_files: data/awa_Deva/*
  - config_name: ayp_Arab
    data_files: data/ayp_Arab/*
  - config_name: ayr_Latn
    data_files: data/ayr_Latn/*
  - config_name: azb_Arab
    data_files: data/azb_Arab/*
  - config_name: azj_Latn
    data_files: data/azj_Latn/*
  - config_name: bak_Cyrl
    data_files: data/bak_Cyrl/*
  - config_name: bam_Latn
    data_files: data/bam_Latn/*
  - config_name: ban_Latn
    data_files: data/ban_Latn/*
  - config_name: bar_Latn
    data_files: data/bar_Latn/*
  - config_name: bas_Latn
    data_files: data/bas_Latn/*
  - config_name: bbc_Latn
    data_files: data/bbc_Latn/*
  - config_name: bbk_Latn
    data_files: data/bbk_Latn/*
  - config_name: bcl_Latn
    data_files: data/bcl_Latn/*
  - config_name: bdq_Latn
    data_files: data/bdq_Latn/*
  - config_name: bel_Cyrl
    data_files: data/bel_Cyrl/*
  - config_name: ben_Beng
    data_files: data/ben_Beng/*
  - config_name: ben_Latn
    data_files: data/ben_Latn/*
  - config_name: bew_Latn
    data_files: data/bew_Latn/*
  - config_name: bho_Deva
    data_files: data/bho_Deva/*
  - config_name: bhp_Latn
    data_files: data/bhp_Latn/*
  - config_name: bis_Latn
    data_files: data/bis_Latn/*
  - config_name: biu_Latn
    data_files: data/biu_Latn/*
  - config_name: bjn_Arab
    data_files: data/bjn_Arab/*
  - config_name: bjn_Latn
    data_files: data/bjn_Latn/*
  - config_name: bod_Tibt
    data_files: data/bod_Tibt/*
  - config_name: bos_Latn
    data_files: data/bos_Latn/*
  - config_name: brh_Arab
    data_files: data/brh_Arab/*
  - config_name: brx_Deva
    data_files: data/brx_Deva/*
  - config_name: bts_Latn
    data_files: data/bts_Latn/*
  - config_name: btx_Latn
    data_files: data/btx_Latn/*
  - config_name: bug_Latn
    data_files: data/bug_Latn/*
  - config_name: bul_Cyrl
    data_files: data/bul_Cyrl/*
  - config_name: bwi_Latn
    data_files: data/bwi_Latn/*
  - config_name: bxr_Cyrl
    data_files: data/bxr_Cyrl/*
  - config_name: cat_Latn
    data_files: data/cat_Latn/*
  - config_name: cbk_Latn
    data_files: data/cbk_Latn/*
  - config_name: ccp_Latn
    data_files: data/ccp_Latn/*
  - config_name: ceb_Latn
    data_files: data/ceb_Latn/*
  - config_name: ces_Latn
    data_files: data/ces_Latn/*
  - config_name: cfm_Latn
    data_files: data/cfm_Latn/*
  - config_name: cha_Latn
    data_files: data/cha_Latn/*
  - config_name: che_Cyrl
    data_files: data/che_Cyrl/*
  - config_name: chr_Latn
    data_files: data/chr_Latn/*
  - config_name: chu_Cyrl
    data_files: data/chu_Cyrl/*
  - config_name: chv_Cyrl
    data_files: data/chv_Cyrl/*
  - config_name: cjs_Cyrl
    data_files: data/cjs_Cyrl/*
  - config_name: ckb_Arab
    data_files: data/ckb_Arab/*
  - config_name: ckt_Cyrl
    data_files: data/ckt_Cyrl/*
  - config_name: cmn_Hani
    data_files: data/cmn_Hani/*
  - config_name: cnh_Latn
    data_files: data/cnh_Latn/*
  - config_name: cnw_Latn
    data_files: data/cnw_Latn/*
  - config_name: cos_Latn
    data_files: data/cos_Latn/*
  - config_name: crh_Cyrl
    data_files: data/crh_Cyrl/*
  - config_name: crh_Latn
    data_files: data/crh_Latn/*
  - config_name: crj_Cans
    data_files: data/crj_Cans/*
  - config_name: crk_Cans
    data_files: data/crk_Cans/*
  - config_name: crk_Latn
    data_files: data/crk_Latn/*
  - config_name: crl_Cans
    data_files: data/crl_Cans/*
  - config_name: crs_Latn
    data_files: data/crs_Latn/*
  - config_name: csb_Latn
    data_files: data/csb_Latn/*
  - config_name: csw_Latn
    data_files: data/csw_Latn/*
  - config_name: csy_Latn
    data_files: data/csy_Latn/*
  - config_name: ctd_Latn
    data_files: data/ctd_Latn/*
  - config_name: cym_Latn
    data_files: data/cym_Latn/*
  - config_name: czt_Latn
    data_files: data/czt_Latn/*
  - config_name: dak_Latn
    data_files: data/dak_Latn/*
  - config_name: dan_Latn
    data_files: data/dan_Latn/*
  - config_name: dar_Cyrl
    data_files: data/dar_Cyrl/*
  - config_name: deu_Latn
    data_files: data/deu_Latn/*
  - config_name: dik_Latn
    data_files: data/dik_Latn/*
  - config_name: diu_Latn
    data_files: data/diu_Latn/*
  - config_name: div_Thaa
    data_files: data/div_Thaa/*
  - config_name: dje_Latn
    data_files: data/dje_Latn/*
  - config_name: dks_Latn
    data_files: data/dks_Latn/*
  - config_name: dln_Latn
    data_files: data/dln_Latn/*
  - config_name: dng_Cyrl
    data_files: data/dng_Cyrl/*
  - config_name: dnw_Latn
    data_files: data/dnw_Latn/*
  - config_name: doi_Deva
    data_files: data/doi_Deva/*
  - config_name: dru_Latn
    data_files: data/dru_Latn/*
  - config_name: dsb_Latn
    data_files: data/dsb_Latn/*
  - config_name: dtp_Latn
    data_files: data/dtp_Latn/*
  - config_name: dty_Deva
    data_files: data/dty_Deva/*
  - config_name: dzo_Tibt
    data_files: data/dzo_Tibt/*
  - config_name: ekk_Latn
    data_files: data/ekk_Latn/*
  - config_name: ell_Grek
    data_files: data/ell_Grek/*
  - config_name: enl_Latn
    data_files: data/enl_Latn/*
  - config_name: enm_Latn
    data_files: data/enm_Latn/*
  - config_name: epo_Latn
    data_files: data/epo_Latn/*
  - config_name: ess_Latn
    data_files: data/ess_Latn/*
  - config_name: eus_Latn
    data_files: data/eus_Latn/*
  - config_name: eve_Cyrl
    data_files: data/eve_Cyrl/*
  - config_name: ewo_Latn
    data_files: data/ewo_Latn/*
  - config_name: ext_Latn
    data_files: data/ext_Latn/*
  - config_name: fao_Latn
    data_files: data/fao_Latn/*
  - config_name: fas_Arab
    data_files: data/fas_Arab/*
  - config_name: ffm_Latn
    data_files: data/ffm_Latn/*
  - config_name: fij_Latn
    data_files: data/fij_Latn/*
  - config_name: fil_Latn
    data_files: data/fil_Latn/*
  - config_name: fin_Latn
    data_files: data/fin_Latn/*
  - config_name: fit_Latn
    data_files: data/fit_Latn/*
  - config_name: fkv_Latn
    data_files: data/fkv_Latn/*
  - config_name: fmu_Deva
    data_files: data/fmu_Deva/*
  - config_name: fra_Latn
    data_files: data/fra_Latn/*
  - config_name: fro_Latn
    data_files: data/fro_Latn/*
  - config_name: frp_Latn
    data_files: data/frp_Latn/*
  - config_name: fry_Latn
    data_files: data/fry_Latn/*
  - config_name: fuf_Latn
    data_files: data/fuf_Latn/*
  - config_name: fur_Latn
    data_files: data/fur_Latn/*
  - config_name: fuv_Latn
    data_files: data/fuv_Latn/*
  - config_name: gag_Latn
    data_files: data/gag_Latn/*
  - config_name: gaz_Latn
    data_files: data/gaz_Latn/*
  - config_name: gcf_Latn
    data_files: data/gcf_Latn/*
  - config_name: gla_Latn
    data_files: data/gla_Latn/*
  - config_name: gle_Latn
    data_files: data/gle_Latn/*
  - config_name: glg_Latn
    data_files: data/glg_Latn/*
  - config_name: glk_Arab
    data_files: data/glk_Arab/*
  - config_name: glv_Latn
    data_files: data/glv_Latn/*
  - config_name: gmh_Latn
    data_files: data/gmh_Latn/*
  - config_name: gnb_Latn
    data_files: data/gnb_Latn/*
  - config_name: goh_Latn
    data_files: data/goh_Latn/*
  - config_name: gom_Deva
    data_files: data/gom_Deva/*
  - config_name: gom_Latn
    data_files: data/gom_Latn/*
  - config_name: gos_Latn
    data_files: data/gos_Latn/*
  - config_name: grc_Grek
    data_files: data/grc_Grek/*
  - config_name: gsw_Latn
    data_files: data/gsw_Latn/*
  - config_name: gug_Latn
    data_files: data/gug_Latn/*
  - config_name: guj_Gujr
    data_files: data/guj_Gujr/*
  - config_name: guj_Latn
    data_files: data/guj_Latn/*
  - config_name: guz_Latn
    data_files: data/guz_Latn/*
  - config_name: hac_Arab
    data_files: data/hac_Arab/*
  - config_name: hae_Latn
    data_files: data/hae_Latn/*
  - config_name: hak_Hani
    data_files: data/hak_Hani/*
  - config_name: hat_Latn
    data_files: data/hat_Latn/*
  - config_name: hau_Latn
    data_files: data/hau_Latn/*
  - config_name: haw_Latn
    data_files: data/haw_Latn/*
  - config_name: hbo_Hebr
    data_files: data/hbo_Hebr/*
  - config_name: heb_Hebr
    data_files: data/heb_Hebr/*
  - config_name: her_Latn
    data_files: data/her_Latn/*
  - config_name: hif_Latn
    data_files: data/hif_Latn/*
  - config_name: hil_Latn
    data_files: data/hil_Latn/*
  - config_name: hin_Deva
    data_files: data/hin_Deva/*
  - config_name: hin_Latn
    data_files: data/hin_Latn/*
  - config_name: hmr_Latn
    data_files: data/hmr_Latn/*
  - config_name: hne_Deva
    data_files: data/hne_Deva/*
  - config_name: hns_Latn
    data_files: data/hns_Latn/*
  - config_name: hrv_Latn
    data_files: data/hrv_Latn/*
  - config_name: hrx_Latn
    data_files: data/hrx_Latn/*
  - config_name: hsb_Latn
    data_files: data/hsb_Latn/*
  - config_name: hun_Latn
    data_files: data/hun_Latn/*
  - config_name: hwc_Latn
    data_files: data/hwc_Latn/*
  - config_name: hye_Armn
    data_files: data/hye_Armn/*
  - config_name: hyw_Armn
    data_files: data/hyw_Armn/*
  - config_name: iba_Latn
    data_files: data/iba_Latn/*
  - config_name: ibg_Latn
    data_files: data/ibg_Latn/*
  - config_name: ibo_Latn
    data_files: data/ibo_Latn/*
  - config_name: ife_Latn
    data_files: data/ife_Latn/*
  - config_name: ike_Cans
    data_files: data/ike_Cans/*
  - config_name: ikt_Latn
    data_files: data/ikt_Latn/*
  - config_name: ilo_Latn
    data_files: data/ilo_Latn/*
  - config_name: ina_Latn
    data_files: data/ina_Latn/*
  - config_name: ind_Latn
    data_files: data/ind_Latn/*
  - config_name: inh_Cyrl
    data_files: data/inh_Cyrl/*
  - config_name: isl_Latn
    data_files: data/isl_Latn/*
  - config_name: ita_Latn
    data_files: data/ita_Latn/*
  - config_name: ivv_Latn
    data_files: data/ivv_Latn/*
  - config_name: jav_Latn
    data_files: data/jav_Latn/*
  - config_name: jpn_Jpan
    data_files: data/jpn_Jpan/*
  - config_name: jun_Orya
    data_files: data/jun_Orya/*
  - config_name: kaa_Cyrl
    data_files: data/kaa_Cyrl/*
  - config_name: kaa_Latn
    data_files: data/kaa_Latn/*
  - config_name: kab_Latn
    data_files: data/kab_Latn/*
  - config_name: kac_Latn
    data_files: data/kac_Latn/*
  - config_name: kak_Latn
    data_files: data/kak_Latn/*
  - config_name: kal_Latn
    data_files: data/kal_Latn/*
  - config_name: kam_Latn
    data_files: data/kam_Latn/*
  - config_name: kan_Knda
    data_files: data/kan_Knda/*
  - config_name: kan_Latn
    data_files: data/kan_Latn/*
  - config_name: kas_Deva
    data_files: data/kas_Deva/*
  - config_name: kas_Latn
    data_files: data/kas_Latn/*
  - config_name: kat_Geor
    data_files: data/kat_Geor/*
  - config_name: kaz_Cyrl
    data_files: data/kaz_Cyrl/*
  - config_name: kbd_Cyrl
    data_files: data/kbd_Cyrl/*
  - config_name: kca_Cyrl
    data_files: data/kca_Cyrl/*
  - config_name: kdh_Latn
    data_files: data/kdh_Latn/*
  - config_name: kdr_Latn
    data_files: data/kdr_Latn/*
  - config_name: kea_Latn
    data_files: data/kea_Latn/*
  - config_name: kei_Latn
    data_files: data/kei_Latn/*
  - config_name: kgp_Latn
    data_files: data/kgp_Latn/*
  - config_name: kha_Latn
    data_files: data/kha_Latn/*
  - config_name: khk_Cyrl
    data_files: data/khk_Cyrl/*
  - config_name: khm_Khmr
    data_files: data/khm_Khmr/*
  - config_name: kik_Latn
    data_files: data/kik_Latn/*
  - config_name: kin_Latn
    data_files: data/kin_Latn/*
  - config_name: kir_Cyrl
    data_files: data/kir_Cyrl/*
  - config_name: kiu_Latn
    data_files: data/kiu_Latn/*
  - config_name: kjb_Latn
    data_files: data/kjb_Latn/*
  - config_name: kjh_Cyrl
    data_files: data/kjh_Cyrl/*
  - config_name: kmr_Cyrl
    data_files: data/kmr_Cyrl/*
  - config_name: kmr_Latn
    data_files: data/kmr_Latn/*
  - config_name: knc_Latn
    data_files: data/knc_Latn/*
  - config_name: koi_Cyrl
    data_files: data/koi_Cyrl/*
  - config_name: kor_Hang
    data_files: data/kor_Hang/*
  - config_name: kos_Latn
    data_files: data/kos_Latn/*
  - config_name: kpv_Cyrl
    data_files: data/kpv_Cyrl/*
  - config_name: krj_Latn
    data_files: data/krj_Latn/*
  - config_name: krl_Latn
    data_files: data/krl_Latn/*
  - config_name: kru_Deva
    data_files: data/kru_Deva/*
  - config_name: ksh_Latn
    data_files: data/ksh_Latn/*
  - config_name: ksw_Mymr
    data_files: data/ksw_Mymr/*
  - config_name: ktj_Latn
    data_files: data/ktj_Latn/*
  - config_name: ktz_Latn
    data_files: data/ktz_Latn/*
  - config_name: kua_Latn
    data_files: data/kua_Latn/*
  - config_name: kum_Cyrl
    data_files: data/kum_Cyrl/*
  - config_name: kwn_Latn
    data_files: data/kwn_Latn/*
  - config_name: kyu_Kali
    data_files: data/kyu_Kali/*
  - config_name: kzj_Latn
    data_files: data/kzj_Latn/*
  - config_name: lad_Latn
    data_files: data/lad_Latn/*
  - config_name: lao_Laoo
    data_files: data/lao_Laoo/*
  - config_name: lat_Latn
    data_files: data/lat_Latn/*
  - config_name: lbe_Cyrl
    data_files: data/lbe_Cyrl/*
  - config_name: ldn_Latn
    data_files: data/ldn_Latn/*
  - config_name: lew_Latn
    data_files: data/lew_Latn/*
  - config_name: lez_Cyrl
    data_files: data/lez_Cyrl/*
  - config_name: lfn_Cyrl
    data_files: data/lfn_Cyrl/*
  - config_name: lim_Latn
    data_files: data/lim_Latn/*
  - config_name: lin_Latn
    data_files: data/lin_Latn/*
  - config_name: lis_Lisu
    data_files: data/lis_Lisu/*
  - config_name: lit_Latn
    data_files: data/lit_Latn/*
  - config_name: lki_Arab
    data_files: data/lki_Arab/*
  - config_name: lld_Latn
    data_files: data/lld_Latn/*
  - config_name: lmk_Latn
    data_files: data/lmk_Latn/*
  - config_name: lnd_Latn
    data_files: data/lnd_Latn/*
  - config_name: lrc_Arab
    data_files: data/lrc_Arab/*
  - config_name: ltg_Latn
    data_files: data/ltg_Latn/*
  - config_name: ltz_Latn
    data_files: data/ltz_Latn/*
  - config_name: lud_Latn
    data_files: data/lud_Latn/*
  - config_name: lug_Latn
    data_files: data/lug_Latn/*
  - config_name: luo_Latn
    data_files: data/luo_Latn/*
  - config_name: lus_Latn
    data_files: data/lus_Latn/*
  - config_name: lvs_Latn
    data_files: data/lvs_Latn/*
  - config_name: lwg_Latn
    data_files: data/lwg_Latn/*
  - config_name: lzh_Hani
    data_files: data/lzh_Hani/*
  - config_name: mag_Deva
    data_files: data/mag_Deva/*
  - config_name: mah_Latn
    data_files: data/mah_Latn/*
  - config_name: mai_Deva
    data_files: data/mai_Deva/*
  - config_name: mak_Latn
    data_files: data/mak_Latn/*
  - config_name: mal_Latn
    data_files: data/mal_Latn/*
  - config_name: mal_Mlym
    data_files: data/mal_Mlym/*
  - config_name: mar_Deva
    data_files: data/mar_Deva/*
  - config_name: mar_Latn
    data_files: data/mar_Latn/*
  - config_name: mas_Latn
    data_files: data/mas_Latn/*
  - config_name: mbf_Latn
    data_files: data/mbf_Latn/*
  - config_name: mdf_Cyrl
    data_files: data/mdf_Cyrl/*
  - config_name: mer_Latn
    data_files: data/mer_Latn/*
  - config_name: mfe_Latn
    data_files: data/mfe_Latn/*
  - config_name: mfg_Latn
    data_files: data/mfg_Latn/*
  - config_name: mfy_Latn
    data_files: data/mfy_Latn/*
  - config_name: mhi_Latn
    data_files: data/mhi_Latn/*
  - config_name: mhr_Cyrl
    data_files: data/mhr_Cyrl/*
  - config_name: mhy_Latn
    data_files: data/mhy_Latn/*
  - config_name: min_Latn
    data_files: data/min_Latn/*
  - config_name: mip_Latn
    data_files: data/mip_Latn/*
  - config_name: mjw_Latn
    data_files: data/mjw_Latn/*
  - config_name: mkd_Cyrl
    data_files: data/mkd_Cyrl/*
  - config_name: mlt_Latn
    data_files: data/mlt_Latn/*
  - config_name: mni_Beng
    data_files: data/mni_Beng/*
  - config_name: mni_Latn
    data_files: data/mni_Latn/*
  - config_name: mnk_Latn
    data_files: data/mnk_Latn/*
  - config_name: mns_Cyrl
    data_files: data/mns_Cyrl/*
  - config_name: mnw_Mymr
    data_files: data/mnw_Mymr/*
  - config_name: moh_Latn
    data_files: data/moh_Latn/*
  - config_name: mph_Latn
    data_files: data/mph_Latn/*
  - config_name: mqy_Latn
    data_files: data/mqy_Latn/*
  - config_name: mri_Latn
    data_files: data/mri_Latn/*
  - config_name: mrj_Cyrl
    data_files: data/mrj_Cyrl/*
  - config_name: mrw_Latn
    data_files: data/mrw_Latn/*
  - config_name: mtg_Latn
    data_files: data/mtg_Latn/*
  - config_name: mui_Latn
    data_files: data/mui_Latn/*
  - config_name: mup_Deva
    data_files: data/mup_Deva/*
  - config_name: mus_Latn
    data_files: data/mus_Latn/*
  - config_name: mvp_Latn
    data_files: data/mvp_Latn/*
  - config_name: mwf_Latn
    data_files: data/mwf_Latn/*
  - config_name: mwl_Latn
    data_files: data/mwl_Latn/*
  - config_name: mww_Latn
    data_files: data/mww_Latn/*
  - config_name: mya_Mymr
    data_files: data/mya_Mymr/*
  - config_name: myv_Cyrl
    data_files: data/myv_Cyrl/*
  - config_name: myx_Latn
    data_files: data/myx_Latn/*
  - config_name: mzh_Latn
    data_files: data/mzh_Latn/*
  - config_name: nah_Latn
    data_files: data/nah_Latn/*
  - config_name: nan_Latn
    data_files: data/nan_Latn/*
  - config_name: nap_Latn
    data_files: data/nap_Latn/*
  - config_name: naq_Latn
    data_files: data/naq_Latn/*
  - config_name: nbu_Latn
    data_files: data/nbu_Latn/*
  - config_name: nde_Latn
    data_files: data/nde_Latn/*
  - config_name: ndo_Latn
    data_files: data/ndo_Latn/*
  - config_name: nds_Latn
    data_files: data/nds_Latn/*
  - config_name: new_Deva
    data_files: data/new_Deva/*
  - config_name: nio_Cyrl
    data_files: data/nio_Cyrl/*
  - config_name: njn_Latn
    data_files: data/njn_Latn/*
  - config_name: njo_Latn
    data_files: data/njo_Latn/*
  - config_name: nld_Latn
    data_files: data/nld_Latn/*
  - config_name: nmf_Latn
    data_files: data/nmf_Latn/*
  - config_name: nmz_Latn
    data_files: data/nmz_Latn/*
  - config_name: nno_Latn
    data_files: data/nno_Latn/*
  - config_name: nob_Latn
    data_files: data/nob_Latn/*
  - config_name: nog_Cyrl
    data_files: data/nog_Cyrl/*
  - config_name: non_Latn
    data_files: data/non_Latn/*
  - config_name: npi_Deva
    data_files: data/npi_Deva/*
  - config_name: npi_Latn
    data_files: data/npi_Latn/*
  - config_name: npo_Latn
    data_files: data/npo_Latn/*
  - config_name: nrf_Latn
    data_files: data/nrf_Latn/*
  - config_name: nri_Latn
    data_files: data/nri_Latn/*
  - config_name: nrm_Latn
    data_files: data/nrm_Latn/*
  - config_name: nse_Latn
    data_files: data/nse_Latn/*
  - config_name: nus_Latn
    data_files: data/nus_Latn/*
  - config_name: nya_Latn
    data_files: data/nya_Latn/*
  - config_name: nyn_Latn
    data_files: data/nyn_Latn/*
  - config_name: nzm_Latn
    data_files: data/nzm_Latn/*
  - config_name: obo_Latn
    data_files: data/obo_Latn/*
  - config_name: oci_Latn
    data_files: data/oci_Latn/*
  - config_name: ojb_Latn
    data_files: data/ojb_Latn/*
  - config_name: olo_Latn
    data_files: data/olo_Latn/*
  - config_name: orv_Cyrl
    data_files: data/orv_Cyrl/*
  - config_name: ory_Latn
    data_files: data/ory_Latn/*
  - config_name: ory_Orya
    data_files: data/ory_Orya/*
  - config_name: oss_Cyrl
    data_files: data/oss_Cyrl/*
  - config_name: ota_Arab
    data_files: data/ota_Arab/*
  - config_name: oto_Latn
    data_files: data/oto_Latn/*
  - config_name: otw_Latn
    data_files: data/otw_Latn/*
  - config_name: pam_Latn
    data_files: data/pam_Latn/*
  - config_name: pan_Guru
    data_files: data/pan_Guru/*
  - config_name: pan_Latn
    data_files: data/pan_Latn/*
  - config_name: pap_Latn
    data_files: data/pap_Latn/*
  - config_name: pbt_Arab
    data_files: data/pbt_Arab/*
  - config_name: pcd_Latn
    data_files: data/pcd_Latn/*
  - config_name: pck_Latn
    data_files: data/pck_Latn/*
  - config_name: pcm_Latn
    data_files: data/pcm_Latn/*
  - config_name: pfl_Latn
    data_files: data/pfl_Latn/*
  - config_name: plt_Latn
    data_files: data/plt_Latn/*
  - config_name: pmq_Latn
    data_files: data/pmq_Latn/*
  - config_name: pmx_Latn
    data_files: data/pmx_Latn/*
  - config_name: pnb_Arab
    data_files: data/pnb_Arab/*
  - config_name: pnt_Grek
    data_files: data/pnt_Grek/*
  - config_name: pol_Latn
    data_files: data/pol_Latn/*
  - config_name: por_Latn
    data_files: data/por_Latn/*
  - config_name: pov_Latn
    data_files: data/pov_Latn/*
  - config_name: ppk_Latn
    data_files: data/ppk_Latn/*
  - config_name: pps_Latn
    data_files: data/pps_Latn/*
  - config_name: prg_Latn
    data_files: data/prg_Latn/*
  - config_name: pui_Latn
    data_files: data/pui_Latn/*
  - config_name: pxm_Latn
    data_files: data/pxm_Latn/*
  - config_name: quc_Latn
    data_files: data/quc_Latn/*
  - config_name: qul_Latn
    data_files: data/qul_Latn/*
  - config_name: qup_Latn
    data_files: data/qup_Latn/*
  - config_name: qus_Latn
    data_files: data/qus_Latn/*
  - config_name: quz_Latn
    data_files: data/quz_Latn/*
  - config_name: raw_Latn
    data_files: data/raw_Latn/*
  - config_name: rcf_Latn
    data_files: data/rcf_Latn/*
  - config_name: rel_Latn
    data_files: data/rel_Latn/*
  - config_name: rhg_Latn
    data_files: data/rhg_Latn/*
  - config_name: ria_Latn
    data_files: data/ria_Latn/*
  - config_name: rjs_Deva
    data_files: data/rjs_Deva/*
  - config_name: rmc_Latn
    data_files: data/rmc_Latn/*
  - config_name: rml_Latn
    data_files: data/rml_Latn/*
  - config_name: rmn_Latn
    data_files: data/rmn_Latn/*
  - config_name: rmy_Cyrl
    data_files: data/rmy_Cyrl/*
  - config_name: rmy_Latn
    data_files: data/rmy_Latn/*
  - config_name: rnl_Latn
    data_files: data/rnl_Latn/*
  - config_name: roh_Latn
    data_files: data/roh_Latn/*
  - config_name: ron_Cyrl
    data_files: data/ron_Cyrl/*
  - config_name: ron_Latn
    data_files: data/ron_Latn/*
  - config_name: rtm_Latn
    data_files: data/rtm_Latn/*
  - config_name: rue_Cyrl
    data_files: data/rue_Cyrl/*
  - config_name: run_Latn
    data_files: data/run_Latn/*
  - config_name: rus_Cyrl
    data_files: data/rus_Cyrl/*
  - config_name: sah_Cyrl
    data_files: data/sah_Cyrl/*
  - config_name: san_Deva
    data_files: data/san_Deva/*
  - config_name: san_Latn
    data_files: data/san_Latn/*
  - config_name: sat_Latn
    data_files: data/sat_Latn/*
  - config_name: sck_Deva
    data_files: data/sck_Deva/*
  - config_name: scn_Latn
    data_files: data/scn_Latn/*
  - config_name: sda_Latn
    data_files: data/sda_Latn/*
  - config_name: sdc_Latn
    data_files: data/sdc_Latn/*
  - config_name: sdh_Arab
    data_files: data/sdh_Arab/*
  - config_name: ses_Latn
    data_files: data/ses_Latn/*
  - config_name: sgc_Latn
    data_files: data/sgc_Latn/*
  - config_name: sgh_Cyrl
    data_files: data/sgh_Cyrl/*
  - config_name: sid_Latn
    data_files: data/sid_Latn/*
  - config_name: sin_Sinh
    data_files: data/sin_Sinh/*
  - config_name: sju_Latn
    data_files: data/sju_Latn/*
  - config_name: skr_Arab
    data_files: data/skr_Arab/*
  - config_name: slk_Latn
    data_files: data/slk_Latn/*
  - config_name: slv_Latn
    data_files: data/slv_Latn/*
  - config_name: sma_Latn
    data_files: data/sma_Latn/*
  - config_name: sme_Latn
    data_files: data/sme_Latn/*
  - config_name: smj_Latn
    data_files: data/smj_Latn/*
  - config_name: smn_Latn
    data_files: data/smn_Latn/*
  - config_name: smo_Latn
    data_files: data/smo_Latn/*
  - config_name: sms_Latn
    data_files: data/sms_Latn/*
  - config_name: smt_Latn
    data_files: data/smt_Latn/*
  - config_name: sna_Latn
    data_files: data/sna_Latn/*
  - config_name: snd_Arab
    data_files: data/snd_Arab/*
  - config_name: snd_Deva
    data_files: data/snd_Deva/*
  - config_name: snd_Latn
    data_files: data/snd_Latn/*
  - config_name: som_Latn
    data_files: data/som_Latn/*
  - config_name: sot_Latn
    data_files: data/sot_Latn/*
  - config_name: spa_Latn
    data_files: data/spa_Latn/*
  - config_name: srd_Latn
    data_files: data/srd_Latn/*
  - config_name: srp_Cyrl
    data_files: data/srp_Cyrl/*
  - config_name: srp_Latn
    data_files: data/srp_Latn/*
  - config_name: ssw_Latn
    data_files: data/ssw_Latn/*
  - config_name: sun_Latn
    data_files: data/sun_Latn/*
  - config_name: swe_Latn
    data_files: data/swe_Latn/*
  - config_name: swg_Latn
    data_files: data/swg_Latn/*
  - config_name: swh_Latn
    data_files: data/swh_Latn/*
  - config_name: syc_Syrc
    data_files: data/syc_Syrc/*
  - config_name: syl_Latn
    data_files: data/syl_Latn/*
  - config_name: szl_Latn
    data_files: data/szl_Latn/*
  - config_name: tab_Cyrl
    data_files: data/tab_Cyrl/*
  - config_name: tam_Latn
    data_files: data/tam_Latn/*
  - config_name: tam_Taml
    data_files: data/tam_Taml/*
  - config_name: taq_Tfng
    data_files: data/taq_Tfng/*
  - config_name: tat_Cyrl
    data_files: data/tat_Cyrl/*
  - config_name: tat_Latn
    data_files: data/tat_Latn/*
  - config_name: tcy_Knda
    data_files: data/tcy_Knda/*
  - config_name: tcz_Latn
    data_files: data/tcz_Latn/*
  - config_name: tel_Latn
    data_files: data/tel_Latn/*
  - config_name: tel_Telu
    data_files: data/tel_Telu/*
  - config_name: tet_Latn
    data_files: data/tet_Latn/*
  - config_name: tgk_Cyrl
    data_files: data/tgk_Cyrl/*
  - config_name: tha_Thai
    data_files: data/tha_Thai/*
  - config_name: thl_Deva
    data_files: data/thl_Deva/*
  - config_name: tig_Ethi
    data_files: data/tig_Ethi/*
  - config_name: tir_Ethi
    data_files: data/tir_Ethi/*
  - config_name: tkl_Latn
    data_files: data/tkl_Latn/*
  - config_name: tkr_Cyrl
    data_files: data/tkr_Cyrl/*
  - config_name: tlh_Latn
    data_files: data/tlh_Latn/*
  - config_name: tly_Latn
    data_files: data/tly_Latn/*
  - config_name: tok_Latn
    data_files: data/tok_Latn/*
  - config_name: ton_Latn
    data_files: data/ton_Latn/*
  - config_name: tpi_Latn
    data_files: data/tpi_Latn/*
  - config_name: tpw_Latn
    data_files: data/tpw_Latn/*
  - config_name: trc_Latn
    data_files: data/trc_Latn/*
  - config_name: trp_Latn
    data_files: data/trp_Latn/*
  - config_name: trs_Latn
    data_files: data/trs_Latn/*
  - config_name: ttj_Latn
    data_files: data/ttj_Latn/*
  - config_name: tuk_Arab
    data_files: data/tuk_Arab/*
  - config_name: tuk_Cyrl
    data_files: data/tuk_Cyrl/*
  - config_name: tuk_Latn
    data_files: data/tuk_Latn/*
  - config_name: tur_Latn
    data_files: data/tur_Latn/*
  - config_name: tuv_Latn
    data_files: data/tuv_Latn/*
  - config_name: twx_Latn
    data_files: data/twx_Latn/*
  - config_name: tyv_Cyrl
    data_files: data/tyv_Cyrl/*
  - config_name: tzl_Latn
    data_files: data/tzl_Latn/*
  - config_name: tzm_Tfng
    data_files: data/tzm_Tfng/*
  - config_name: udm_Cyrl
    data_files: data/udm_Cyrl/*
  - config_name: uig_Arab
    data_files: data/uig_Arab/*
  - config_name: uig_Cyrl
    data_files: data/uig_Cyrl/*
  - config_name: uig_Latn
    data_files: data/uig_Latn/*
  - config_name: ukr_Cyrl
    data_files: data/ukr_Cyrl/*
  - config_name: urd_Arab
    data_files: data/urd_Arab/*
  - config_name: urd_Latn
    data_files: data/urd_Latn/*
  - config_name: uzn_Cyrl
    data_files: data/uzn_Cyrl/*
  - config_name: uzn_Latn
    data_files: data/uzn_Latn/*
  - config_name: uzs_Arab
    data_files: data/uzs_Arab/*
  - config_name: vap_Latn
    data_files: data/vap_Latn/*
  - config_name: vie_Latn
    data_files: data/vie_Latn/*
  - config_name: vot_Latn
    data_files: data/vot_Latn/*
  - config_name: vro_Latn
    data_files: data/vro_Latn/*
  - config_name: war_Latn
    data_files: data/war_Latn/*
  - config_name: way_Latn
    data_files: data/way_Latn/*
  - config_name: wba_Latn
    data_files: data/wba_Latn/*
  - config_name: wbm_Latn
    data_files: data/wbm_Latn/*
  - config_name: wes_Latn
    data_files: data/wes_Latn/*
  - config_name: whk_Latn
    data_files: data/whk_Latn/*
  - config_name: wlx_Latn
    data_files: data/wlx_Latn/*
  - config_name: wol_Latn
    data_files: data/wol_Latn/*
  - config_name: wsg_Telu
    data_files: data/wsg_Telu/*
  - config_name: wwa_Latn
    data_files: data/wwa_Latn/*
  - config_name: xal_Cyrl
    data_files: data/xal_Cyrl/*
  - config_name: xho_Latn
    data_files: data/xho_Latn/*
  - config_name: xmm_Latn
    data_files: data/xmm_Latn/*
  - config_name: xmv_Latn
    data_files: data/xmv_Latn/*
  - config_name: xog_Latn
    data_files: data/xog_Latn/*
  - config_name: yaz_Latn
    data_files: data/yaz_Latn/*
  - config_name: ydd_Hebr
    data_files: data/ydd_Hebr/*
  - config_name: yor_Latn
    data_files: data/yor_Latn/*
  - config_name: yrk_Cyrl
    data_files: data/yrk_Cyrl/*
  - config_name: yrl_Latn
    data_files: data/yrl_Latn/*
  - config_name: yua_Latn
    data_files: data/yua_Latn/*
  - config_name: yue_Hani
    data_files: data/yue_Hani/*
  - config_name: zea_Latn
    data_files: data/zea_Latn/*
  - config_name: zgh_Tfng
    data_files: data/zgh_Tfng/*
  - config_name: zom_Latn
    data_files: data/zom_Latn/*
  - config_name: zsm_Arab
    data_files: data/zsm_Arab/*
  - config_name: zsm_Latn
    data_files: data/zsm_Latn/*
  - config_name: zul_Latn
    data_files: data/zul_Latn/*
---
# 💬 FineTranslations
<center>
    <img src="https://huggingface.co/datasets/HuggingFaceFW/admin/resolve/main/finetranslations-logo.png" alt="FineTranslations">
</center>

> The world's knowledge in 1+1T tokens of parallel text

# Table of Contents

- [💬 FineTranslations](#-finetranslations)
   * [What is it?](#what-is-it)
   * [What is it for?](#what-is-it-for)
   * [Languages and available subsets](#languages-and-available-subsets)
   * [How to download and use 💬 FineTranslations](#how-to-download-and-use-finetranslations)
      + [Using 🏭 `datatrove`](#using-datatrove)
      + [Using `huggingface_hub`](#using-huggingface_hub)
      + [Using `datasets`](#using-datasets)
   * [Dataset processing steps](#dataset-processing-steps)
      + [1. Sourcing the data](#1-sourcing-the-data)
      + [2. Running translation at scale](#2-running-translation-at-scale)
      + [3. Post-processing](#3-post-processing)
      + [4. Edu-filtering](#4-edu-filtering)
- [Dataset card for 💬 FineTranslations](#dataset-card-for-finetranslations)
   * [Dataset Description](#dataset-description)
      + [Dataset Summary](#dataset-summary)
   * [Dataset Structure](#dataset-structure)
      + [Data Instances](#data-instances)
      + [Data Fields](#data-fields)
      + [Data Splits](#data-splits)
   * [Dataset Creation](#dataset-creation)
      + [Curation Rationale](#curation-rationale)
      + [Source Data](#source-data)
      + [Data processing steps](#data-processing-steps-1)
      + [Annotations](#annotations)
      + [Personal and Sensitive Information and opt-out](#personal-and-sensitive-information-and-opt-out)
   * [Considerations for Using the Data](#considerations-for-using-the-data)
      + [Social Impact of Dataset](#social-impact-of-dataset)
      + [Discussion of Biases](#discussion-of-biases)
      + [Other Known Limitations](#other-known-limitations)
   * [Additional Information](#additional-information)
      + [Licensing Information](#licensing-information)
   * [Citation Information](#citation-information)

## What is it?

This dataset contains over 1 trillion tokens of parallel text in English and 500+ languages. It was obtained by translating data from **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)** into English using [Gemma3 27B](https://huggingface.co/google/gemma-3-27b-it).

We relied on [datatrove's inference runner](https://github.com/huggingface/datatrove?tab=readme-ov-file#synthetic-data-generation) to deploy a **synthetic data pipeline at scale**. Its **checkpointing** and **VLLM lifecycle management** features allowed us to use leftover compute from the HF cluster without fear of preemption. The **async implementation** ensures strong GPU utilization at all times.

The **💬 FineTranslations** dataset is [fully reproducible](https://github.com/huggingface/finetranslations) and available under the permissive **ODC-By 1.0 license**.

This is the _base_ version. For the Edu version, see [here](https://huggingface.co/datasets/HuggingFaceFW/finetranslations).

## What is it for?

The main motivation behind the creation of this dataset was improving **translation capabilities**. While models are generally strong at translating from other languages into English (X->English), the opposite is often not true, particularly for lower resource languages. Our approach was to take data that was originally in non-English languages (from **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)**, our large multilingual pre-training dataset), chunk it, and translate it. This dataset can then be used to improve English->X translations by finetuning existing models (we leave this for future work).

Additionally, the resulting English data contains relevant cultural information for different countries and languages, and our experiments show that the 1T tokens we obtained perform on a similar level as our **🍷 [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)** dataset. This data can therefore also be used for English only model training (potentially as an extension of FineWeb).

For the English only performance of the dataset, see the comparison below. The ablation setup is the same as in [FinePDFs](https://huggingface.co/datasets/HuggingFaceFW/finepdfs).
<center>
    <img src="https://huggingface.co/datasets/HuggingFaceFW/admin/resolve/main/finetranslations_plot.png" alt="finetranslations-comparisons">
</center>

## Languages and available subsets

Each language is identified by its [ISO 639-3 code](https://iso639-3.sil.org/code_tables/639/data), and the data is grouped by language-script pairs, since some languages have content in multiple scripts.

The full list of subsets is available [here](https://huggingface.co/datasets/HuggingFaceFW/finetranslations/blob/main/subsets.csv).

To access data from all the languages, use the `all` subset.

## How to download and use 💬 FineTranslations

See the tables above for the `subset` of the language you want to download.

We currently do not provide smaller `sample` versions, but by setting `limit` or using `streaming=True` you can easily fetch a sample of the data.

### Using 🏭 [`datatrove`](https://github.com/huggingface/datatrove/)

```python
from datatrove.pipeline.readers import ParquetReader

# limit determines how many documents will be streamed (remove for all)
# this will fetch the Portuguese filtered data
data_reader = ParquetReader("hf://datasets/HuggingFaceFW/finetranslations/data/por_Latn", limit=1000)
for document in data_reader():
    # do something with document
    print(document)

###############################    
# OR for a processing pipeline:
###############################

from datatrove.executor import LocalPipelineExecutor
from datatrove.pipeline.readers import ParquetReader
from datatrove.pipeline.filters import LambdaFilter
from datatrove.pipeline.writers import JsonlWriter

pipeline_exec = LocalPipelineExecutor(
    pipeline=[
        ParquetReader("hf://datasets/HuggingFaceFW/finetranslations/data/por_Latn", limit=1000),
        LambdaFilter(lambda doc: "hugging" in doc.text),
        JsonlWriter("some-output-path")
    ],
    tasks=10
)
pipeline_exec.run()
```

### Using `huggingface_hub`

```python
from huggingface_hub import snapshot_download
folder = snapshot_download(
                "HuggingFaceFW/finetranslations", 
                repo_type="dataset",
                local_dir="./finetranslations/",
                # download the Czech filtered data
                allow_patterns=["data/ces_Latn/*"])
```

### Using `datasets`
```python
from datasets import load_dataset
# get data from all languages
fw = load_dataset("HuggingFaceFW/finetranslations", name="all", split="train", streaming=True)
```

## Dataset processing steps
We used the 🏭 `datatrove` library to process the data.
You can find the entire **working code** that created the dataset [here](https://github.com/huggingface/finetranslations).

### 1. Sourcing the data
The starting point for this dataset was our previously released **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)** dataset, a large scale pre-training dataset covering over a thousand languages.

As many of these language subsets consisted in large part of religious content (mostly bibles) or Wikipedia pages, we only included the languages whose subset had a `bible_wiki_ratio` (ratio of documents with this type of content) under `0.5` (around 500 languages).

We processed up to 50B tokens per language. For languages that originally had more than 50B tokens, we employed quality classifiers from [FineWeb2-HQ](https://huggingface.co/datasets/epfml/FineWeb2-HQ) and kept the top 50B tokens. When a classifier wasn't available, we randomly sampled 50B tokens worth of documents.

### 2. Running translation at scale
We compared a variety of models from the Qwen, Llama, Gemma, Mistral and Aya models on translation benchmarks on a large number of languages. Qwen and Gemma models showed the strongest performance across the board, but Qwen models would sometimes output Chinese even when translating from European languages into English. As such, and for simplicity, we employed [Gemma3 27B](https://huggingface.co/google/gemma-3-27b-it) to translate all languages.

The main issues we observed from our early experiments were:
- a large amount of toxic/adult/gambling related content, specially originating from our lower resource languages;
- lack of adherence to the original formatting. In particular, new lines would often be removed or added arbitrarily;
- repetition loops (that would run until the model context was full), particularly in very large documents

We relied on the following measures to address them:
- have the model initially classify the type of content before translating, flagging adult/spam like content early (faster processing too)
- strict formatting rules in the prompt
- chunk documents into at most 512 token chunks. We then rely on a sliding window approach to translate the next chunk while keeping the previous one (already translated) in the prompt for context

The prompt used is as follows:

<details>
<summary>Click to view the full translation SYSTEM prompt</summary>

<pre>
**EARLY EXIT (runs BEFORE anything else)**
1) First, classify &lt;ORIGINAL&gt;.
2) If it contains ANY of:
   - Pornographic/explicit sexual content (incl. escorting)
   - Online gambling/casino/betting
   - Trading/crypto/forex promotional content
   - Lists of unrelated keywords or phrases lacking complete sentences and grammatical connectors (SEO spam)
THEN immediately output exactly:
&lt;TRANSLATION&gt;CONTENT FLAG&lt;/TRANSLATION&gt;
and STOP — ignore all other instructions.
3) If not, proceed with translation rules.

You are a professional translator. Follow **all** instructions exactly.

**Crucial Formatting Rules (READ CAREFULLY — HARD REQUIREMENTS):**
1. **Preserve formatting EXACTLY.**
* Do **not** add, remove, or modify any line breaks.
* You must output the **exact same number of lines** as the input.
* Each line in your output must correspond exactly to one line in the input.
* You must **never** insert additional blank lines that do not exist in the original text.
* Do **not** insert blank lines for readability.
2. **Translate every token.**
Do not skip, summarize, or ignore any word, punctuation mark, or spacing.
3. **No literal translation.**
Make the English natural and fluent, but **do not** change formatting.
4. **No hallucinations.**
Do not add explanations, commentary, or any content that isn't in the original.
5. **Output format**
Enclose the translated text **only** in:
&lt;TRANSLATION&gt;
&lt;/TRANSLATION&gt;
Nothing before or after.
6. **If you cannot follow these formatting rules exactly, output:**
`ERROR: formatting rule violated`

**Additional Strict Requirements:**
- Do **NOT** insert extra whitespace.
- Do **NOT** auto-format paragraphs.
- Do **NOT** add blank lines.
- Do NOT reinterpret or restructure the text. Do NOT treat long lines as paragraphs. You must preserve every line exactly as written, even if the line is extremely long, contains many sentences, or appears to represent multiple paragraphs.
- Do NOT split any lines into multiple lines. Even if a line contains many sentences, you must keep it as a single line exactly as in the original.
- Treat every visible line break as unchangeable.
- When in doubt, copy the structure line by line.

Remember the early exit rule before you consider translating.
</pre>

</details>


<details>
<summary>Click to view the full translation USER prompt</summary>

<pre>**{display_language} ({subset_language}) Text to Translate (preserve all line breaks EXACTLY):**
&lt;ORIGINAL&gt;{combined_chunk}&lt;/ORIGINAL&gt;

Now translate to English (eng_Latn).</pre>
</details>

The pipeline ran on the Hugging Face cluster over a period of 3 months, making use of spare compute cycles.

# 3. Post-processing
We removed content that the model had flagged, removed the &lt;TRANSLATION&gt;&lt;/TRANSLATION&gt; markdown tags and ensured line breaks on the chunk boundaries were consistent.

# 4. Edu-filtering
We attempted to use the quality classifier from [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) to boost English performance. However, this filtering did not lead to a performance improvement, potentially due to distribution differences between Gemma generated text and natural English from web pages. Therefore, we trained a new classifier that provided a modest performance boost when filtering for the top 10% of content. This content is available in the [finetranslations-edu dataset](https://huggingface.co/datasets/HuggingFaceFW/finetranslations-edu).

# Dataset card for 💬 FineTranslations

## Dataset Description

- **Homepage and Repository:** [https://huggingface.co/datasets/HuggingFaceFW/finetranslations](https://huggingface.co/datasets/HuggingFaceFW/finetranslations)
- **Point of Contact:** https://huggingface.co/datasets/HuggingFaceFW/finetranslations/discussion
- **License:** Open Data Commons Attribution License (ODC-By) v1.0

### Dataset Summary

This dataset contains over 1 trillion tokens of parallel text in English and 500+ languages. It was obtained by translating data from **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)** into English using [Gemma3 27B](https://huggingface.co/google/gemma-3-27b-it).

## Dataset Structure

### Data Instances

The following is an example sample from the dataset. It is part of the French (`fra_Latn`) data, originally from the `CC-MAIN-2014-52` CommonCrawl snapshot.

```json
{
   "translated_text": "A and I completed a small DIY project that is easy but yields surprising and charming results.\nWe used wooden letters that A patiently painted with wood paint.\nSubsequently, we added buttons with hot glue to embellish everything.\nEach person now has their own colorful and fun letter!",
   "translated_chunks": [
      "A and I completed a small DIY project that is easy but yields surprising and charming results.\nWe used wooden letters that A patiently painted with wood paint.\nSubsequently, we added buttons with hot glue to embellish everything.\nEach person now has their own colorful and fun letter!"
   ],
   "og_chunks": [
      "A et moi avons réalisé un petit projet brico facile mais qui donne des résultats surprenants et charmants.\nNous avons utilisé des lettres de bois que A a patiemment peint avec de la peinture à bois.\nPar la suite, nous y avons ajouté, à la colle chaude, des boutons pour garnir le tout.\nChacun a maintenant sa propre lettre colorée et amusante!"
   ],
   "og_full_text": "A et moi avons réalisé un petit projet brico facile mais qui donne des résultats surprenants et charmants.\nNous avons utilisé des lettres de bois que A a patiemment peint avec de la peinture à bois.\nPar la suite, nous y avons ajouté, à la colle chaude, des boutons pour garnir le tout.\nChacun a maintenant sa propre lettre colorée et amusante!",
   "og_language": "fra_Latn",
   "og_language_score": 0.9992175698280334,
   "og_token_count": 83,
   "og_quality_score": 0.03385915607213974,
   "early_stop": false,
   "id": "<urn:uuid:d7835f7d-d5e5-451e-97fb-6d51bf8addcf>",
   "url": "http://mcommemaman.blogspot.com/2008/12/bricolage-personnalis.html",
   "warc_path": "s3://commoncrawl/crawl-data/CC-MAIN-2014-52/segments/1418802778085.5/warc/CC-MAIN-20141217075258-00136-ip-10-231-17-201.ec2.internal.warc.gz",
   "minhash_cluster_size": 42,
   "translated_token_count": 58,
   "edu_score_raw": 0.640625,
   "edu_score": 1
}
```

### Data Fields

- `translated_text` (string): the English translated text content (all chunks concatenated)
- `translated_chunks` (list of strings): the English translation split into chunks
- `og_chunks` (list of strings): the original text in the source language split into chunks (there is a 1-1 match between `translated_chunks` and `og_chunks`)
- `og_full_text` (string): the original full text in the source language
- `og_language` (string): language-script code for the original text (e.g., `fra_Latn`)
- `og_language_score` (float): language prediction score for the original text as reported by the [GlotLID classifier](https://github.com/huggingface/datatrove/blob/main/src/datatrove/pipeline/filters/language_filter.py#L52)
- `og_token_count` (int): token count of the original text
- `og_quality_score` (float): quality score of the original text from the EPFL classifiers (if available, -1 otherwise)
- `early_stop` (bool): whether translation stopped early due to formatting issues. In this case, the last chunks from the original text were dropped.
- `id` (string): original unique identifier for this sample from CommonCrawl
- `url` (string): url to the original page where the text was present
- `warc_path` (string): s3 path for the individual CommonCrawl warc file containing this sample
- `minhash_cluster_size` (int): number of samples in the FineWeb2 minhash cluster of this sample. See the deduplication section of FineWeb2 for more info.
- `translated_token_count` (int): token count of the English (translated) text
- `edu_score_raw` (float): raw educational score from the educational classifier
- `edu_score` (int): binned educational score (0-4 scale)

Notes:
- `og_quality_score` is from a classifier applied on the original language, while `edu_score` was computed on the translated English text
- in case of `early_stop`, some chunks might have been dropped. In this case, `og_full_text` might not match `translated_text`. Rely on the chunk variables if needed.

### Data Splits

See "**Languages and available subsets**" above.

## Dataset Creation

### Curation Rationale

The main motivation behind the creation of this dataset was improving **translation capabilities**. While models are generally strong at translating from other languages into English (X->English), the opposite is often not true, particularly for lower resource languages. Our approach was to take data that was originally in non-English languages (from **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)**, our large multilingual pre-training dataset), chunk it, and translate it. This dataset can then be used to improve English->X translations by finetuning existing models.

Additionally, the resulting English data contains relevant cultural information for different countries and languages, and our experiments show that the 1T tokens we obtained perform on a similar level as our **🍷 [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)** dataset. This data can therefore also be used for English only model training (potentially as an extension of FineWeb).

### Source Data

The source data for **💬 FineTranslations** is **🥂 [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)**, a large scale pre-training dataset covering over a thousand languages sourced from CommonCrawl webpages crawled over the 2013-2024 time period.

As many of these language subsets consisted in large part of religious content (mostly bibles) or Wikipedia pages, we only included the languages whose subset had a `bible_wiki_ratio` (ratio of documents with this type of content) under `0.5` (around 500 languages).

We processed up to 50B tokens per language. For languages that originally had more than 50B tokens, we employed quality classifiers from [FineWeb2-HQ](https://huggingface.co/datasets/epfml/FineWeb2-HQ) and kept the top 50B tokens. When a classifier wasn't available, we randomly sampled 50B tokens worth of documents.

### Data processing steps
See "**Dataset processing steps**" above.

### Annotations

We augment the original samples with translation-related annotations including `translated_text`, `translated_chunks`, `og_chunks`, `og_full_text`, `og_language`, `og_language_score`, `og_token_count`, `og_quality_score`, `translated_token_count`, `early_stop`, `edu_score_raw`, and `edu_score`. The original language annotations (`og_language`, `og_language_score`) are inherited from FineWeb2 and were automatically generated by the [language filter](https://github.com/huggingface/datatrove/blob/main/src/datatrove/pipeline/filters/language_filter.py). The `minhash_cluster_size` is also inherited from FineWeb2 and was computed during the deduplication process. Translation-specific annotations track the translation process, quality, and educational scores.

### Personal and Sensitive Information and opt-out

The source data (FineWeb2) anonymizes email addresses and public IP addresses. 

For emails, a regex pattern is applied and any occurrence of an email address is replaced with either `email@example.com` or `firstname.lastname@example.org`. For IP addresses, a regex pattern is employed and then further filtered to only anonymize IP addresses [allocated for public networks](https://www.iana.org/assignments/iana-ipv4-special-registry/iana-ipv4-special-registry.xhtml). Matched IP addresses are then replaced with one of the following randomly generated IP addresses, which at the time of dataset creation were not responding to ping requests: `22.214.171.124`, `126.96.36.199`, `188.8.131.52`, `184.108.40.206`, `220.127.116.11`, and `18.104.22.168`. The source dataset decided against applying regex patterns for phone numbers due to the high false positive rate.

Despite these efforts, given that **💬 FineTranslations** is sourced from web content at large, it is very likely that some personally identifiable information (PII) will be present. If you find your own PII in **💬 FineTranslations** and would like it removed, please fill out our [PII removal/opt out form](https://forms.gle/VyNT3ZAUPZjPuWp39).

CommonCrawl respects robots.txt at crawl time, but if you are a webmaster and find your website in **💬 FineTranslations** and would like to have it removed, you may also use the [PII removal/opt out form](https://forms.gle/VyNT3ZAUPZjPuWp39).

## Considerations for Using the Data

### Social Impact of Dataset

With the release of this dataset we aim to improve translation capabilities, particularly for lower resource languages where English->X translation is often weak. By providing over 1 trillion tokens of parallel text data across 500+ languages, we enable researchers and practitioners to:

- **Improve translation models**: Finetune existing models on this parallel data to improve English->X translation capabilities
- **Train multilingual models**: Use the parallel data for training or improving multilingual models
- **Enhance English models**: Leverage the translated English content, which contains cultural information from diverse languages and performs similarly to FineWeb for English-only training

The dataset is fully reproducible with all code available, making the translation pipeline transparent and allowing the community to build upon our work.

### Discussion of Biases

The dataset inherits biases from both the source data (FineWeb2) and the translation process:

**Source data biases**: As FineWeb2 was sourced from the web, any harmful biases typically present in web content may be reproduced in this dataset. Efforts were made in the source dataset to minimize NSFW and toxic content through URL-level filtering, but some toxic or harmful content may still be present.

**Translation model biases**: The translations were generated using Gemma3 27B, which may introduce its own biases:
- The model may translate certain concepts or cultural references in ways that don't fully capture the original meaning
- Translation quality may vary across languages, with lower resource languages potentially receiving lower quality translations
- The model's training data biases may be reflected in the translations

**Content filtering**: We employed early exit mechanisms to flag adult/spam content before translation, but some content that passed these filters may still be considered inappropriate. The formatting preservation requirements may also have led to some translations that don't read as naturally as human translations.

### Other Known Limitations

**Translation quality**: While we compared multiple models and selected Gemma3 27B for its strong performance, translation quality is not uniform across all languages. Lower resource languages may have lower translation quality, and some translations may contain errors or awkward phrasing.

**Formatting preservation**: We prompt the translation model to strictly maintain the original formatting, such as line breaks and document structure. However, in practice, the model does not always fully respect these instructions—so while our approach aims for high formatting fidelity, there may be cases where formatting inconsistencies remain or the structure is not perfectly preserved.

**Model limitations**: The translation model has context limitations (we chunked documents into 512 token chunks), which means very long documents are translated in pieces. While we use a sliding window approach to maintain context, some coherence may be lost across chunk boundaries.

**Language coverage**: We only included languages from FineWeb2 with a `bible_wiki_ratio` under 0.5, which excluded some languages that were predominantly religious or Wikipedia content. This means the dataset may not be representative of all possible language content.

**Educational filtering**: The educational classifier was trained specifically for this dataset, but its performance may vary across different types of content. The top 10% educational content is available in a separate dataset (finetranslations-edu).

We encourage users to review the translation quality for their languages of interest and consider additional filtering or post-processing if needed.

## Additional Information

### Licensing Information

The dataset is released under the **Open Data Commons Attribution License (ODC-By) v1.0** [license](https://opendatacommons.org/licenses/by/1-0/). The use of this dataset is also subject to [CommonCrawl's Terms of Use](https://commoncrawl.org/terms-of-use).

## Citation Information
```
@misc{penedo2026finetranslations,
      title={FineTranslations}, 
      author={Guilherme Penedo and Hynek Kydl{\'\i}{\v{c}}ek and Amir Hossein Kargaran and Leandro von Werra},
      year={2026},
      publisher = {Hugging Face},
      journal = {Hugging Face repository},
      howpublished = {\url{https://huggingface.co/datasets/HuggingFaceFW/finetranslations}}
}
```