African-African Parallel Sentences
Collection
Collection of sentence pairs or parallel corpus across African Languages for machine translation.
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703 items
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Updated
Dataset Viewer
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float32 1.04
1.25
| Akan
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454
| Kikuyu
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454
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1.249969 |
deɛ ɔtane ntenesoɔ no bɛwu.
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no mũndũ ũrĩa ũrũmagĩrĩra waganu nĩ gũkua agaakua.
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1.249578 |
Fafiri - ɛyɛ mmrɛ saa anaa?
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Kũrekerwo mehia-nĩ kũhũthũ ũguo?
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1.248874 |
Menli mɔɔ su edwɛkɛ ɛhye anwo kpolera la ka mɔɔ bɛdie bɛdi la anwo edwɛkɛ ndɛndɛ mɔɔ bɛnze deɛmɔti bɛdie bɛdi la.
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No kũrĩ arĩa matetĩkĩtie,
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1.248864 |
ne ɔsrane korokumatwa mu, yɛn Apontoɔ da no;
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na ningĩ rĩrĩa mweri waiganana, mũthenya ũrĩa wa Gĩathĩ giitũ;
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1.248594 |
33Ɛmaa asuafoɔ no bisabisaa wɔn ho wɔn ho sɛ, "Obi abrɛ no aduane bi anaa?"
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33Nao arutwo ake makĩũrania atĩrĩ, "Kaĩ hihi harĩ mũndũ ũmũreheire irio?"
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1.247621 |
mo, ɛpo kɛseɛ mu abɔdeɛ ne ɛpo bunu nyinaa,
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na iria, na kĩrĩa gĩothe gĩtũũraga thĩinĩ wacio:
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1.247462 |
Ɔbɛtumi ama ne nkurɔfoɔ ɛnam anaa?"
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No ahe andũ ake nyama?"
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1.247189 |
wɔ ne mmeranteɛ ɛberɛ mu.
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hĩndĩ ĩrĩa arĩ mũnini.
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1.246895 |
sene sɛdeɛ awɛmfoɔ twene adekyeɛ.
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gũkĩra ũrĩa arangĩri metagĩrĩra rũciinĩ gũkĩe,
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1.246609 |
6Ao, ma Israel nkwagyeɛ mfiri Sion mmra!
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6Naarĩ korwo ũhonokio wa Isiraeli no ũgĩũke kuuma Zayuni!
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1.244734 |
"Bɛva bɛ adwenleadwenle muala bɛgua ɔ nwo zo, ɔboalekɛ ɔdwenle bɛ nwo." - 1 Pita 5:7.
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'Mũikagĩrie mĩtangĩko yaku yothe, nĩ ũndũ nĩ akũrũmbũyagia.' - 1 Petero 5:7.
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1.244243 |
wɔwuwu na wɔsane kɔ mfuturo mu.
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ikuuaga igaacooka rũkũngũ-inĩ.
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1.24368 |
Ne boɔ yɛ den dodo.
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Ciarĩ goro mũno.
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1.243122 |
8Wɔgye ɔteneneeni firi amaneɛ mu,
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8Mũndũ ũrĩa mũthingu nĩahonokagio kuuma thĩĩna-inĩ,
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1.241717 |
wɔn dodoɔ asene ɔsoro nsoromma,
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makaingĩha gũkĩra njata cia igũrũ,
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1.241341 |
Aduane wei yε dε pa ara.
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na ĩkarĩĩaga irio iria njega mũno.
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1.241015 |
12Sɛdeɛ apueeɛ ne atɔeɛ ntam ware no,
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12o ta ũrĩa irathĩro kũraihanĩrĩirie na ithũĩro-rĩ,
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1.239913 |
Nyamenle biala nee bɛ ɛdeɛ ne ɛnzɛ.'
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Gũtirĩ ngai ũngĩ tiga niĩ.
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1.239816 |
ma wɔn a wɔdi nʼapam mu ahyɛdeɛ soɔ.
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harĩ arĩa mamenyagĩrĩra kĩrĩkanĩro gĩake.
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1.239183 |
Kɔ zolɛ yɛ ɛhye mɔ, ɔluakɛ saa ɛyɛ ye zɔhane a, ɛbalie ɛ nwo nee bɛdabɛ mɔɔ bɛtie wɔ la ngoane." - 1 TIM.
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Kiragĩrĩria thĩinĩ wa maũndũ macio, tondũ weka ũguo, nĩũkwĩhonokia wee mwene na ũhonokie o na arĩa magũthikagĩrĩria.
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1.238847 |
Deɛ ɔyɛɛ ani no, ɔrenhunu adeɛ anaa?
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Githĩ mũtirĩ na maitho inyuothe
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1.238181 |
Saa ɛberɛ korɔ no ara mu, abɔfra no ho tɔɔ no!
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Nake mũtumia ũcio akĩhonio o hĩndĩ ĩyo.
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1.237917 |
Efiri atifi kosi anaafoɔ
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kuuma mwena wa irathĩro na wa ithũĩro,
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1.237723 |
39Yudafoɔ no annye anni ɛfiri sɛ, na Odiyifoɔ Yesaia asane aka sɛ,
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39Nĩ ũndũ ũcio matingĩetĩkirie, nĩ tondũ Isaia nĩoigĩte handũ hangĩ atĩrĩ:
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1.237436 |
Yɛ ndonwo fa kile ngakyile mɔɔ wɔ adwenlenubukelɛ, ndelebɛbo, nee nrɛlɛbɛ avinli la anu.
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nĩguo kagĩe na ũhoti, na ũtonga, na ũũgĩ,
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1.236222 |
MƆƆ MENLI DƆƆNWO DIE DI LA "Menli mɔɔ kɛyɛ ɛtane la wu ala a bɛ ɛkɛla kɔ hell, na bɛtwe bɛ nzo wɔ ɛkɛ wɔ 'senle mɔɔ ɛnnu ɛlɛ la anu.'"
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41Na tondũ wa ciugo ciake, andũ angĩ aingĩ magĩĩtĩkia.
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1.234847 |
Wobesiesie asase bio ama abԑyԑ paradise.
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Ũkagarũra thĩ ĩtuĩke Paradiso.
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1.234178 |
35Wɔn a wɔgyina hɔ no bi a wɔtee deɛ ɔkaeɛ no kaa sɛ, "Montie sɛ ɔrefrɛ Elia."
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47Nao andũ amwe a arĩa maarũngiĩ hau rĩrĩa maiguire ũguo, makiuga atĩrĩ, "Areeta Elija."
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1.233958 |
Saa ɛberɛ korɔ no ara mu, abɔfra no ho tɔɔ no!
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Nake mwarĩ akĩhonio ithaa o rĩu.
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1.233678 |
mede mʼano bɛda wo nokorɛdie adi awoɔ ntoatoasoɔ nyinaa mu.
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ndĩrĩmenyithanagia wĩhokeku waku na kanua gakwa kũrĩ njiarwa na njiarwa.
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1.232981 |
30Nʼano siiɛ no, wɔpɛɛ sɛ anka wɔkyere no nanso obiara antumi amfa ne nsa anka no, ɛfiri sɛ, na ne berɛ a ɛsɛ sɛ wɔkyere no no nnuruiɛ.
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No gũtirĩ mũndũ wamũnyiitire nĩ tondũ ihinda rĩake rĩtiarĩ ikinyu.
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1.232825 |
21Enti, ɛberɛ a amrado no sane bisaa wɔn sɛ, "Nnipa baanu yi mu hwan na mopɛ nɛ megyaa no ma mo?"
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21Barũthi ũcio akĩmooria atĩrĩ, "Andũ aya eerĩ nĩ ũrĩkũ mũkwenda ndĩmuohorere?"
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1.232247 |
afiri ɛpo akɔsi ɛpo
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na kuuma iria rĩmwe nginya rĩrĩa rĩngĩ,
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1.232174 |
ne tenaberɛ wɔ Sion.
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gĩikaro gĩake kĩrĩ Zayuni.
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1.232108 |
"Ɛfiri saa ɛberɛ yi de rekorɔ mɛka nneɛma foforɔ akyerɛ mo,
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"Kuuma rĩu ndĩĩkwĩraga ũhoro wa maũndũ merũ,
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1.231653 |
9Afei, ɔsane soo daeɛ bio.
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Akĩrĩkia atũorota.
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1.230335 |
ɛfiri sɛ ɔreba abɛbu ewiase atɛn.
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arooka gũtuĩra thĩ ciira.
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1.229695 |
9Ampa ara, ne nkwagyeɛ bɛne wɔn a wɔsuro no,
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19Kaĩ wega waku ũrĩa ũigĩire arĩa magwĩtigĩrĩte, nĩ mũingĩ-ĩ,
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1.229462 |
Wobesiesie asase bio ama abԑyԑ paradise.
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Paradiso ĩgaacokio atĩa?
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1.228619 |
Bɛkulo kɛ bɛnwu deɛ mɔɔ ɔti ninyɛne ɛhye mɔ to bɛ la.
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Ngũria ngona kĩ gwathera?
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1.228389 |
Deɛ menim ara ne sɛ, kane no na meyɛ onifirani na afei deɛ mehunu adeɛ."
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No njũũĩ ũndũ ũyũ ũmwe; ndĩraarĩ mũtumumu na rĩu nĩndĩrona!"
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1.227743 |
(Eno nti) kyerԑkyerԑ me w'akwan
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ũũmenyithie njĩra ciaku;
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1.227508 |
Lɔɔto nee ye abusua ne hwehwenle bɛ bo aze, yemɔti anwumabɔvolɛ ne mɔ zɔle bɛ sa na bɛ nee bɛ rale suakpole ne kandiba.
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Ni wega niundu mwathani arauga una ARAIKA aria meherie no magaikyo ISHAINI:
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1.226992 |
17Ɔka kyerɛɛ wɔn sɛ, "Atwerɛsɛm no ka sɛ, 'Mʼasɔrefie yɛ beaeɛ a wɔbɔ mpaeɛ,' nanso mo deɛ, mode hɔ ayɛ akorɔmfoɔ atenaeɛ."
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4619:46 Isa 56:7; Jer 7:11Akĩmeera atĩrĩ, "Nĩ kwandĩkĩtwo atĩrĩ, 'Nyũmba yakwa ĩgeetagwo nyũmba ya kũhooyagĩrwo' no inyuĩ mũmĩtuĩte 'ngurunga ya atunyani.' "
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1.225591 |
36Ɛfiri sɛ, adeɛ nyinaa firi ne mu na ɛba, na ɛnam ne so na ɛba, na ɛbɛsane akɔ ne nkyɛn bio.
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Nĩ ũndũ ũcio we na nyũmba yake yothe magĩĩtĩkia.
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1.22557 |
22"Mmerɛ dodoɔ a asase da so wɔ hɔ yi,
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22"Mahinda mothe marĩa thĩ ĩgũtũũra-rĩ,
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1.2253 |
7Yesu buaa no sɛ, "Deɛ mereyɛ yi, worente aseɛ seesei, nanso akyire no wobɛte aseɛ."
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7Jesũ akĩmũcookeria atĩrĩ, "Ndũngĩmenya ũrĩa ndĩreka rĩu, no thuutha-inĩ nĩũrĩmenya."
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1.224912 |
wodaa berɛ bɛn?
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"Ĩĩ rĩu ũrakama ciigana?"
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1.224549 |
14Woama nnipa ayɛ sɛ nsuomnam a ɛwɔ ɛpo mu,
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14Ũtuĩte andũ ta thamaki cia iria,
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1.223896 |
Asekyerԑ ne sԑn?
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Ũguo nĩ kuuga atĩa?
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1.22285 |
Duzu ati a bɛyɛ gyima ɛhye mɔ amuala ɛ?
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Tũrutaga wĩra ũcio mũritũ ũguo nĩkĩ?
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1.222512 |
na wɔahunu deɛ nʼakwan nenam.
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Ũkĩmenye njĩra ciake,
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1.22138 |
na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
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O torĩa twohagĩra arĩa matũhĩtĩirie - As we forgive those who sin against us
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1.221198 |
14Yei maa deɛ Odiyifoɔ Yesaia kaeɛ sɛ,
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14Nĩo makinyĩirwo nĩ ũhoro ũrĩa warathirwo nĩ mũnabii Isaia, rĩrĩa oigire atĩrĩ:
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1.221054 |
"Yelɛma, bɛbɛlɛ bɛ nwo aze bɛmaa bɛ hu mɔ kɛ mɔɔ ɔfɛta wɔ Awulae anu la."
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183:18 Aef 5:22Inyuĩ atumia-rĩ, mwĩnyiihagĩriei athuuri anyu, o ta ũrĩa kwagĩrĩire thĩinĩ wa Mwathani.
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1.220569 |
36Afei, ɔsane somaa nnipa a wɔn dodoɔ sene wɔn a ɔsomaa wɔn kane no sɛ wɔnkɔ akuafoɔ no nkyɛn, nanso asɛm korɔ no ara bi na ɛsiiɛ.
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36Agĩcooka akĩmatũmĩra ndungata ingĩ nyingĩ kũrĩ iria aatũmĩte mbere, nao akombori acio magĩciĩka o ro ũguo.
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1.220179 |
ne boɔ yɛ sɛn?
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Karĩ goro atĩa?
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1.219772 |
deɛ ɔtutu anyansafoɔ adenim guo
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Igooka irĩ na ũgemu wa ũtheru,
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1.21976 |
na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
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ta ũrĩa o na ithuĩ tũrekagĩra arĩa matũhĩtagĩria.
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1.219654 |
na ɛduru anwummerɛ a, ɔkyekyɛ ɛnam nkaeɛ no."
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hwaĩ-inĩ akagayania kĩrĩa atahĩte."
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1.219507 |
sɛdeɛ ɛyɛa woyɛ no naa aa
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Wagĩa na nganja nĩkĩ?"
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1.219019 |
12Wɔhunu wʼanwanwadeɛ wɔ beaeɛ a ɛhɔ aduru sum,
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12Magegania maku nĩmonagwo kũndũ kũu kwa nduma,
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1.21897 |
nokorɛ no ara na woaka no it's just the truth that you've said;
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na mũkoogomia maũndũ marĩa ma ma;
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1.218909 |
4Ɔnim nsoromma no dodoɔ
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4Nĩwe ũmenyaga mũigana wa njata,
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1.218906 |
Ɔsan nso dii wↄn anim de wↄn kↄↄ kurow no mu.
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Magĩthiĩ nake, magĩtoonya nyũmba gwake.
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1.218539 |
38Misraim ani gyeeɛ ɛberɛ a wɔkɔeɛ,
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38Andũ a Misiri nĩmakenire moima kuo,
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1.218488 |
Bie mɔ ɛva Nyamenle anwo ɛya wɔ bɛ ahonle nu.
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rũrĩa ngoro ciaruo itaathĩkagĩra Mũrungu,
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1.218225 |
Mepε sε meyε meho sε
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I wanna be ME ME ME
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1.217445 |
8Ɔbɔfoɔ no bisaa Hagar sɛ, "Sarai abaawa Hagar, wofiri he, na worekɔ he?"
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8Mũraika akĩmũũria atĩrĩ, "Hagari ndungata ya Sarai, uuma kũ na wathiĩ kũ?"
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1.217436 |
Ɛnee bɛdie bɛ nwo bɛdi somaa.
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Mũtũmwo nĩatũmirwo kũrĩ ndũrĩrĩ oige atĩrĩ,
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1.216908 |
ɛfiri sɛ ɔreba abɛbu ewiase atɛn.
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nĩgũkorwo nĩarooka gũciirithia thĩ.
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1.216587 |
ɛyɛ amanehunu ne ɔsɛeɛ ɛda,
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mũthenya wa mĩnyamaro na ruo rũnene,
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1.216481 |
"Yedɛlɛ sɔlɔ anwomanyunlu ne anu wɔ ɛleka mɔɔ debie biala ɛnle la, yehenda azɛlɛ ne mɔɔ debie biala ɛnlɛ nu a."
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Nayo thĩ ndĩarĩ ũrĩa yatariĩ; yarĩ o ũguo ũtheri; o nakuo kũu guothe kũriku gũtarĩ gĩturi kwahumbĩtwo no nduma.
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1.216432 |
33Nʼasuafoɔ no nso bisaa no sɛ, "Ɛserɛ so ha deɛ, ɛhe na yɛbɛnya nnipadɔm yi ano aduane?"
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33Nao arutwo ake magĩcookia atĩrĩ, "Tũngĩruta kũ mĩgate ya kũhũũnia kĩrĩndĩ ta gĩkĩ, gũkũ werũ-inĩ?"
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1.216009 |
15Farisifoɔ no nso bisaa aberanteɛ no sɛdeɛ ɛyɛeɛ a afei deɛ ɔhunuu adeɛ.
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15Nĩ ũndũ ũcio Afarisai o nao makĩmũũria ũrĩa aahotete kuona.
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1.215786 |
17Ɔka kyerɛɛ wɔn sɛ, "Atwerɛsɛm no ka sɛ, 'Mʼasɔrefie yɛ beaeɛ a wɔbɔ mpaeɛ,' nanso mo deɛ, mode hɔ ayɛ akorɔmfoɔ atenaeɛ."
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1321:13 Isa 56:7; Jer 7:11Akĩmeera atĩrĩ, "Nĩ kwandĩkĩtwo atĩrĩ, 'Nyũmba yakwa ĩgeetagwo nyũmba ya kũhooyagĩrwo,' no inyuĩ mũmĩtuĩte 'ngurunga ya atunyani.' "
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1.215513 |
3Mʼatamfoɔ sane wɔn akyi;
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3Thũ ciakwa icookaga na thuutha,
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1.214575 |
mfa ayɛyɛdeɛ mmrɛ Ɔbaako a ɛsɛ sɛ wɔsuro noɔ no.
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Kana hihi, "mũtigetigĩre imakania ciao."
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1.214227 |
Bɛb am dad ɛsɛ: Njaŋ, owʼn elm ow, kↄ es cɛ owʼn bʼot ow.
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o inyuĩ ciana cia Jakubu, inyuĩ ake athuure.
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1.214026 |
na wʼahennwa nso atim wɔ awoɔ ntoantoasoɔ nyinaa mu.' "
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gĩtĩ gĩaku kĩa ũnene nginya tene na tene."
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1.213995 |
3Mmepɔ no de yiedie bɛbrɛ nnipa no,
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3Irĩma igaatũmaga andũ magaacĩre,
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1.213617 |
Wɔ Dwosefi ɛlalɛ ne amu nwiɔ anu, ɔ mediema ne mɔ bɔle bɛ ti aze manle ye.
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Tondũ ũcio, hatiarĩ mũndũ o na ũmwe warĩ na Jusufu rĩrĩa emenyithanirie kũrĩ ariũ a ithe.
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1.213473 |
Barima bԑyԑԑ bi, na wanmԑyԑ ni nyinaa"
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nĩguo kagĩe na ũhoti, na ũtonga, na ũũgĩ,
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1.212729 |
12Monsane nkɔ mʼaban mu, Ao nneduafoɔ a mowɔ anidasoɔ;
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12Cookai kĩĩhitho-inĩ kĩanyu kĩrĩa kĩrũmu, inyuĩ muohetwo mũrĩ na mwĩhoko;
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1.212369 |
MENLI ɛva ɛvolɛ apenle dɔɔnwo ɛdwenle kpuyia ɛhye mɔ anwo.
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2 Kwa ihinda rĩa mĩaka mĩingĩ, andũ maanarĩrĩria ũndũ ũcio.
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1.212129 |
16Adekyeeɛ wɔ wo na adesaeɛ nso yɛ wo dea;
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16Mũthenya nĩ waku o na ũtukũ no waku;
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1.211973 |
na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
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o jaũrĩa twĩ tũrekagĩra barĩa batwĩĩtie;
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1.211756 |
nanso me nkurɔfoɔ ayɛ atirimuɔdenfoɔ
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mahĩtithagia andũ akwa,
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1.211605 |
Abɔnsam atuadelɛ ne yɛle anwumabɔvolɛma mɔɔ di nɔhalɛ maa Nyamenle la amuala azibɛnwo, bɛvale ɛya yɛɛ bɛ nye anlie ɔ nwo bieko.
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Shaitani aakararirie Jehova araika makĩĩyonagĩra.
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1.211028 |
Noko akee, wɔ ndenle dɔɔnwo azo, yɛle ngakyile wɔ asɔne dɔɔnwo mɔɔ bɛfɛlɛ bɛ nwo Keleseɛnema la anwo.
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O na kũrĩ ũguo, na njĩra cigana ũna itiganĩte, ithuĩ tũkoragwo tũrĩ ngũrani na ndini iria ingĩ ciĩtagwo cia Gĩkristiano.
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1.210368 |
Nyame ne yεn wɔ hwε yεn so
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Ngai Atwiciragia Wega
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1.209885 |
^ Anzɛɛ ɔkola ɔkile, "bɛdabɛ mɔɔ bɛdie bane."
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Nidhi Arora စစ
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1.209794 |
wɔ akofoɔ ɔpeduanan a wɔwɔ Israel mu!
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Andũ Ngiri Igana rĩa Mĩrongo Ĩna na Inya a Isiraeli
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1.209664 |
Wʼabofuo bɛtoa so akɔ awoɔ ntoantoasoɔ nyinaa so anaa?
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Marakara maku megũkinyĩra njiarwa na njiarwa?
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1.209378 |
32Tera dii mfeɛ ahanu ne enum, na ɔwuu wɔ Haran.
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32Tera agĩtũũra muoyo mĩaka ĩngĩ magana meerĩ na ĩtano, na agĩkuĩra kũu Harani.
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1.209351 |
ɛdeɛ bɛn biom na wobɛtumi ayɛ ama me
|
Mũndũ-rĩ, nĩ atĩa angĩhota kũnjĩka?
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1.209314 |
ɔhenkɛseɛ wɔ anyame nyinaa so.
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o we Mũthamaki mũnene ũkĩrĩte ngai ciothe.
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1.207873 |
Kɛzi menli adwenle yɛ bɛ wɔ diedi nwo ɛ, na duzu ati a bɛvo a?
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o acio ũtacookaga kũririkana,
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1.207458 |
na wɔbɛnante sɛ anifirafoɔ,
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nao magaathiiaga ta andũ atumumu,
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1.207444 |
sɛdeɛ ɔbɛda ne tumi kɛseɛ no adi.
|
nĩguo atũme hinya wake mũnene ũmenyeke.
|
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in Data Studio
Akan-Kikuyu_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source initiative led by META. You can find more information here: OPUS - NLLB-v1
Metadata
- File Name: Akan-Kikuyu_Sentence-Pairs
- Number of Rows: 13930
- Number of Columns: 3
- Columns: score, Akan, Kikuyu
Dataset Description
The dataset contains sentence pairs in African languages with an associated similarity score. Each row consists of three columns:
score: The similarity score between the two sentences (range from 0 to 1).Akan: The first sentence in the pair (language 1).Kikuyu: The second sentence in the pair (language 2).
This dataset is intended for use in training and evaluating machine learning models for tasks like translation, sentence similarity, and cross-lingual transfer learning.
References
Below are papers related to how the data was collected and used in various multilingual and cross-lingual applications:
[1] Holger Schwenk and Matthijs Douze, Learning Joint Multilingual Sentence Representations with Neural Machine Translation, ACL workshop on Representation Learning for NLP, 2017
[2] Holger Schwenk and Xian Li, A Corpus for Multilingual Document Classification in Eight Languages, LREC, pages 3548-3551, 2018.
[3] Holger Schwenk, Filtering and Mining Parallel Data in a Joint Multilingual Space ACL, July 2018
[4] Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk and Veselin Stoyanov, XNLI: Cross-lingual Sentence Understanding through Inference, EMNLP, 2018.
[5] Mikel Artetxe and Holger Schwenk, Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings arXiv, Nov 3 2018.
[6] Mikel Artetxe and Holger Schwenk, Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond arXiv, Dec 26 2018.
[7] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv, July 11 2019.
[8] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
[9] Paul-Ambroise Duquenne, Hongyu Gong, Holger Schwenk, Multimodal and Multilingual Embeddings for Large-Scale Speech Mining, NeurIPS 2021, pages 15748-15761.
[10] Kevin Heffernan, Onur Celebi, and Holger Schwenk, Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
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Size of downloaded dataset files:
1.87 MB
Size of the auto-converted Parquet files:
1.27 MB
Number of rows:
13,930