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10 values
premise
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3
339
hypothesis
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5
166
label
class label
3 classes
aym
Jupax sanwa: Mamita, utankastwa.
Yatiñ utan awtux jaytawayki ukxpachaw mamaytapar jawsanxa.
1neutral
aym
Jupax sanwa: Mamita, utankastwa.
Jupax janiw mä ars arskänti
2contradiction
aym
Jupax sanwa: Mamita, utankastwa.
Utar purinxtwa sasaw mamaparux sanxa
0entailment
aym
Janiw kunar sarataps yatkänti, ukatx yatiyañapanwa Washington markarux kawki chiqarus sari
Janiw kuna pachas Washington markankayati, kunawsatix uk saram sapxitux chhaqtwa ukawx jiqhatä sasina
1neutral
aym
Janiw kunar sarataps yatkänti, ukatx yatiyañapanwa Washington markarux kawki chiqarus sari
Washington mark sarakasax kuntix lurka ukx yatiyatwa
2contradiction
aym
Janiw kunar sarataps yatkänti, ukatx yatiyañapanwa Washington markarux kawki chiqarus sari
Janiw sum yatkayatti kuntix lurka uka, ukatx sar Washinton marakaru, kawkirutix chhillapkit yatiyañataki
0entailment
aym
Jupax janiw atkant sarañanxa
Jupaw nayraqatx jawillt'atanxa ukjamarus lurawinakatx kust'ayapuninwa
2contradiction
aym
Jupax janiw atkant sarañanxa
Janiw ukankañapatak jaysatakanti
0entailment
aym
Jupax janiw atkant sarañanxa
Museo jist'arañatakix janiw sarañapat jaysatakanti.
1neutral
aym
Nayax walikiyatwa, ¡ukhamarus ukax ukakinwa!
Kunawsatix iyaw sasax jistxa, ukhaw tukuyxi
0entailment
aym
Nayax walikiyatwa, ¡ukhamarus ukax ukakinwa!
Janiw jistwa ukatx mayamp mayampiw jitt'awayi.
2contradiction
aym
Nayax walikiyatwa, ¡ukhamarus ukax ukakinwa!
Kunasatix iyaw jistxa, uka uruw jaqichasiñan sasaw amtawayapta
1neutral
aym
Ukankayatxa askicht'añatakikiwa
Sum nayraqatpach amuyayatxa
2contradiction
aym
Ukankayatxa askicht'añatakikiwa
Qullqix kawkharus saratayn uk amuyañ yant'askayatxa
1neutral
aym
Ukankayatxa askicht'añatakikiwa
Amuyañ yant'askayatxa
0entailment
aym
Ukatx, ist'ita, janchi masisar tumpt'añ jaytawayapxataynawa kunalaykutix jupanakax janq'unakaniw sasaw amtawayapxanxa
Sapuruw tumpir sarasipkanxa
2contradiction
aym
Ukatx, ist'ita, janchi masisar tumpt'añ jaytawayapxataynawa kunalaykutix jupanakax janq'unakaniw sasaw amtawayapxanxa
Wila masirux janiw tumpxapxanti
0entailment
aym
Ukatx, ist'ita, janchi masisar tumpt'añ jaytawayapxataynawa kunalaykutix jupanakax janq'unakaniw sasaw amtawayapxanxa
Wila masirux jaytawayxapxanwa tumpañxa kunawsatix qalltki janchi tuq uñisisiñax ukhata
1neutral
aym
Awichan kullakapan ukhamarak chachapat kunjams Augusta markar janq'utjam uñt'ayasisin sarawayxapxan, uk arusirinxa.
Awichan kullakapax janq'u kastanwa ukatx Texa markaruw sarawayxi.
2contradiction
aym
Awichan kullakapan ukhamarak chachapat kunjams Augusta markar janq'utjam uñt'ayasisin sarawayxapxan, uk arusirinxa.
Awichan kullakapax janiw janq'u kastakanti.
0entailment
aym
Awichan kullakapan ukhamarak chachapat kunjams Augusta markar janq'utjam uñt'ayasisin sarawayxapxan, uk arusirinxa.
Awichan kullakapax janiw janq'u kastakanti ukatx yatiqañ utar sarañatakix janq'uñ munanxa
1neutral
aym
Ukatx, yatxtawa, jupax ukhamanwa, kunaymanana, qullichir jaqin wawapjama kunalaykutix walja urakin qullqin jaqin wawapjama
Awkipax aka jakawinx janiw kunanikansa.
2contradiction
aym
Ukatx, yatxtawa, jupax ukhamanwa, kunaymanana, qullichir jaqin wawapjama kunalaykutix walja urakin qullqin jaqin wawapjama
Awkipax 2000 acres ukha yapuchañ uraqininwa
1neutral
aym
Ukatx, yatxtawa, jupax ukhamanwa, kunaymanana, qullichir jaqin wawapjama kunalaykutix walja urakin qullqin jaqin wawapjama
Awkipax walja uraqinakaninwa.
0entailment
aym
Ukampirus nayan irnaqawijax parakayitanak ukampirus qhispiyir chaliku uskuñanwa kunawsatix khumuntatakan ukhamarak thuqtawaykan anqax mark tuqiru.
Janiw irnaqawinikayatti, ukampirus utaruw taqi kajunanak imxta
2contradiction
aym
Ukampirus nayan irnaqawijax parakayitanak ukampirus qhispiyir chaliku uskuñanwa kunawsatix khumuntatakan ukhamarak thuqtawaykan anqax mark tuqiru.
Japón markaruw kajanak apayxta
1neutral
aym
Ukampirus nayan irnaqawijax parakayitanak ukampirus qhispiyir chaliku uskuñanwa kunawsatix khumuntatakan ukhamarak thuqtawaykan anqax mark tuqiru.
Apayxtwa
0entailment
aym
Kunjamatix, mmm….., chinuntataxayatwa.
Mayamp sum uñxatxa walikiskit chinuntataxa
1neutral
aym
Kunjamatix, mmm….., chinuntataxayatwa.
Ukhampuninwa kunwsatix kunjams jaranuqupx ukhaxa
2contradiction
aym
Kunjamatix, mmm….., chinuntataxayatwa.
Ukjamanwa kunjam katjatakayat ukhaxa
0entailment
aym
Ukhamarus jupax warmiraranwa, ukjamaxaya, anqanjam uñjasiyatxa. Ukhamarus yatxtawa, janiw kusakanti, ukampirus ukjamaw nayra sarnaqawijaxa.
Chiqa chuymaniyatwa ukhamarus suma jaqiyatwa
2contradiction
aym
Ukhamarus jupax warmiraranwa, ukjamaxaya, anqanjam uñjasiyatxa. Ukhamarus yatxtawa, janiw kusakanti, ukampirus ukjamaw nayra sarnaqawijaxa.
Uñisiyatwa kunalaykutix wali jach'a jach' tukutanwa
1neutral
aym
Ukhamarus jupax warmiraranwa, ukjamaxaya, anqanjam uñjasiyatxa. Ukhamarus yatxtawa, janiw kusakanti, ukampirus ukjamaw nayra sarnaqawijaxa.
Jupax janiw jupan llumk'upakanti.
0entailment
aym
Kunawsatix jaktxa, kunawsatix tultut jaktxa apsuñ qalltañapatakixa, awiyunan pä yanakaw ch'iqatuqin chullutatawayatana
Taqi yanakaw awiyunan jan llawq'atakanti
2contradiction
aym
Kunawsatix jaktxa, kunawsatix tultut jaktxa apsuñ qalltañapatakixa, awiyunan pä yanakaw ch'iqatuqin chullutatawayatana
Ch'amanw apsuñaxa.
1neutral
aym
Kunawsatix jaktxa, kunawsatix tultut jaktxa apsuñ qalltañapatakixa, awiyunan pä yanakaw ch'iqatuqin chullutatawayatana
Utjanaw yaqhip awiyunan yanakapax chullurata
0entailment
aym
Chiqpachanx janiw amuykanti.
Jupatakix janiw askikanti kunalaykutix janiw amuyañ atkanti yaqha anqa arunaka jan yatisisax.
1neutral
aym
Chiqpachanx janiw amuykanti.
Ukhamanwa, jupax janiw amuykanti
0entailment
aym
Chiqpachanx janiw amuykanti.
Jupax chiqsapuniw kuntix arusktan uk yatinxa.
2contradiction
aym
Inas jupax taqiniru jischina ukhamarus nayax janiw ukaratux sum ist'katatti.
Janiw ist'kti kunasatix yaqhipanakaru jiskan ukxa.
0entailment
aym
Inas jupax taqiniru jischina ukhamarus nayax janiw ukaratux sum ist'katatti.
Jupax taqi kun jiskan uk ist'xa
2contradiction
aym
Inas jupax taqiniru jischina ukhamarus nayax janiw ukaratux sum ist'katatti.
Maynimp kunaw ukapachax aruskipaskana.
1neutral
aym
Paya, kimsa awiyunanakak ukankayatan ukhax chhaqaytanxa , antis , way, mä yant'akiwa
Mä paya awiyunanakaw chhaqapxi kunalaykutix jan wali pachanwa.
1neutral
aym
Paya, kimsa awiyunanakak ukankayatan ukhax chhaqaytanxa , antis , way, mä yant'akiwa
Mä paya awiyunakiw chhaqixa
0entailment
aym
Paya, kimsa awiyunanakak ukankayatan ukhax chhaqaytanxa , antis , way, mä yant'akiwa
Janipuniw mä awiyuns chhaqayktanti
2contradiction
aym
Wakisiw kunaksay naya layku luram
Janiw kuna yanaps munkti.
2contradiction
aym
Wakisiw kunaksay naya layku luram
Mä jach'a irnaqaw lurañaw wakisi.
1neutral
aym
Wakisiw kunaksay naya layku luram
Nayax mä luratpach muntxa
0entailment
aym
Yaqhakast, parakayistanaka ukhamarak mä jaltir jamach'in ukham kims kutirjama, mä pachanx 22.000 millanak jali.
Mä pachanx 20.000 millanak mä ukhx jali
0entailment
aym
Yaqhakast, parakayistanaka ukhamarak mä jaltir jamach'in ukham kims kutirjama, mä pachanx 22.000 millanak jali.
Mä pachanx 10.000 millanak ukhak jali
2contradiction
aym
Yaqhakast, parakayistanaka ukhamarak mä jaltir jamach'in ukham kims kutirjama, mä pachanx 22.000 millanak jali.
Jet ukax mä pachanx 20.000 millas ukhx jali
1neutral
aym
Rudolph Anderson utjkan ukapacha, U2 ukatx mä kimsa qhanañchañawa
Rudolph Anderson juparux janiw kawqhan jikqhatañjamakansa, ukampirus mä U2 ukhakiw utjistanxa
2contradiction
aym
Rudolph Anderson utjkan ukapacha, U2 ukatx mä kimsa qhanañchañawa
Rudolph Anderson jupax U2 kimsan taypinkanwa.
0entailment
aym
Rudolph Anderson utjkan ukapacha, U2 ukatx mä kimsa qhanañchañawa
Rudolfph Anderson U2 jupamp chikañchasiñax wali askipuninwa
1neutral
aym
Uka manqhankaskakinwa
Jupax jan kun jaytasapuniw sarawayxi.
2contradiction
aym
Uka manqhankaskakinwa
Jupax jak'pachankaskakinwa
0entailment
aym
Uka manqhankaskakinwa
Sarkxaspas ukham amuyapxayatxa, ukatx qhiparakiwa
1neutral
aym
Ukampirus, uh, ukatx mistpan sam.
Janiw ukatx juchikiñ munkti
2contradiction
aym
Ukampirus, uh, ukatx mistpan sam.
Uñakipaw akxa
0entailment
aym
Ukampirus, uh, ukatx mistpan sam.
Aka lurat yatiyawx uñakipawa
1neutral
aym
Ukampirus, makiw, jawsanipxitu jalanaqaskir uñtañataki.
Amuyatatx awiyunax uñch'ukiñapuninwa.
1neutral
aym
Ukampirus, makiw, jawsanipxitu jalanaqaskir uñtañataki.
Amuyatatx kunatix tuyunaqki ukar uñtañatakipachanwa.
0entailment
aym
Ukampirus, makiw, jawsanipxitu jalanaqaskir uñtañataki.
Janiw anq uñtapxatat sapxituwa
2contradiction
aym
Jupax laphi jat'ina ukatx ch'allaruw uskunxa, nina aqtayasinx ukat phichkatanwa mä qillxaru ukatx qillx akham unxtayanxa.
Jupax wali sutjatapuninawa kuns phichhatirjama, ukatx mawk'it yant'akinwa.
2contradiction
aym
Jupax laphi jat'ina ukatx ch'allaruw uskunxa, nina aqtayasinx ukat phichkatanwa mä qillxaru ukatx qillx akham unxtayanxa.
Jupax laphx phichhantaspanwa
0entailment
aym
Jupax laphi jat'ina ukatx ch'allaruw uskunxa, nina aqtayasinx ukat phichkatanwa mä qillxaru ukatx qillx akham unxtayanxa.
Jupax mä jutir amuy qillqt'anxa ukat phichkatasmakiniwa.
1neutral
aym
Um, Concord tuqiw Ramona jupar jawsañama. Uphisinakaspas ukham amuyasina. Chiqpachanx mä kliyintimpiw mark maysajan ukankaski. Monroe ukankasipktwa. Jupax Concord tuqinkaskiwa.
Ramonax Concord ukan taqpach jakawipanx jakasiwayanxa.
1neutral
aym
Um, Concord tuqiw Ramona jupar jawsañama. Uphisinakaspas ukham amuyasina. Chiqpachanx mä kliyintimpiw mark maysajan ukankaski. Monroe ukankasipktwa. Jupax Concord tuqinkaskiwa.
Ramanx janiw kunapachas Concord ukankanti
2contradiction
aym
Um, Concord tuqiw Ramona jupar jawsañama. Uphisinakaspas ukham amuyasina. Chiqpachanx mä kliyintimpiw mark maysajan ukankaski. Monroe ukankasipktwa. Jupax Concord tuqinkaskiwa.
Ramonax Concord ukankiwa
0entailment
aym
Ukax mayakipuniw nayatakixa, 16n maraw irnaqaw tuqin sarantawayta yaqha kast lurawinakampi.
Yaqha kast lurawinak tuqinx walja maranakaw ukanktxa
0entailment
aym
Ukax mayakipuniw nayatakixa, 16n maraw irnaqaw tuqin sarantawayta yaqha kast lurawinakampi.
Janiw kunasas mä irnaqawinikayatti
2contradiction
aym
Ukax mayakipuniw nayatakixa, 16n maraw irnaqaw tuqin sarantawayta yaqha kast lurawinakampi.
Wali munat irnaqawijax yaqha kast lurawinakanwa.
1neutral
aym
Ukatjamak amtastxa.
Janipuniw amtaskt kunipansa
2contradiction
aym
Ukatjamak amtastxa.
Amuyatatx ukatjamak sutip amtxa
1neutral
aym
Ukatjamak amtastxa.
Ukjamakiw amuyatatx amtañajatakixa
0entailment
aym
Ukaw wal chuymar puriytamxa
Wali kuspin chuymar puriytamxa
2contradiction
aym
Ukaw wal chuymar puriytamxa
Jan walpin chuymar uñjaytamxa
0entailment
aym
Ukaw wal chuymar puriytamxa
Mä pachat sumaptawayasktaxa
1neutral
aym
Janiw ukhar qhiparañamakiti.
Utarutix sarxañ munstax sarxasmawa
1neutral
aym
Janiw ukhar qhiparañamakiti.
Sarxasmawa
0entailment
aym
Janiw ukhar qhiparañamakiti.
¡Akawx chiqarupuniw qhiparañamaxa!
2contradiction
aym
Ukapuninwa… uka urux wali sutjasiñapuninwa
Uka urux samart'añatakipuniwa
2contradiction
aym
Ukapuninwa… uka urux wali sutjasiñapuninwa
Kunawsatix jach'a ch'amak thay markar purinkan ukax sustjasiñajampuninwa
1neutral
aym
Ukapuninwa… uka urux wali sutjasiñapuninwa
Uka urux sustjapunituwa
0entailment
aym
Aka, walikiw, ukhamipanxa… wilusirarax yapxattawayiwa, yapxatawayiwa ukampirus yapxatawayiw anqaxar puriñkama.
Sapakutpachax wali mäkipuniwa
0entailment
aym
Aka, walikiw, ukhamipanxa… wilusirarax yapxattawayiwa, yapxatawayiwa ukampirus yapxatawayiw anqaxar puriñkama.
Janis tukuskasp ukham uñicht'ayasinxa
2contradiction
aym
Aka, walikiw, ukhamipanxa… wilusirarax yapxattawayiwa, yapxatawayiwa ukampirus yapxatawayiw anqaxar puriñkama.
Wilusirarax mayxt'ayitunwa
1neutral
aym
Ukampis, walikiw, ukampirus, akanakaw kimsanix, chuy, uphisinapan jilir irpiri Kennedy Washington ukamp May jiniralamp U2 pilutunakax jupanakamp chikanawa.
Jiniral May ukjamarak pilutunakampix uphisinapar tumpasax sumanjamak ukankt'anawayapxi
1neutral
aym
Ukampis, walikiw, ukampirus, akanakaw kimsanix, chuy, uphisinapan jilir irpiri Kennedy Washington ukamp May jiniralamp U2 pilutunakax jupanakamp chikanawa.
Jiniral May jupax janiw kunawsas Jilir irpiri Kennedyn uphisinaparux saririkanti
2contradiction
aym
Ukampis, walikiw, ukampirus, akanakaw kimsanix, chuy, uphisinapan jilir irpiri Kennedy Washington ukamp May jiniralamp U2 pilutunakax jupanakamp chikanawa.
Akaw jiliri irpiri Kennedy uphisinapan jiniral May ukjamarak U2 ukankir kimsa pilutumpixa
0entailment
aym
Janir t'axllitatkasax, ¿Kunats jan sitasm milk'imp chukulatimp umxatt'am sasa?
Janiw milk'i umkiristi.
2contradiction
aym
Janir t'axllitatkasax, ¿Kunats jan sitasm milk'imp chukulatimp umxatt'am sasa?
Milk'imp chukulatimp umxat'añ muniristwa.
0entailment
aym
Janir t'axllitatkasax, ¿Kunats jan sitasm milk'imp chukulatimp umxatt'am sasa?
Milk'imp chukulatimp mawk'it umxat'añ kusaspawa ukjamarak pantasin yatisisin juyart'ayitaspawa .
1neutral
aym
Ukat ukampirus, mapit taqikunas qallantatawa, ukhatpach arktasmaxa.
Arktasmaw taqikun qallantatipanxa
0entailment
aym
Ukat ukampirus, mapit taqikunas qallantatawa, ukhatpach arktasmaxa.
Base de datos ukar mantasmaw kunawsatix yatiyawinak phuqhañchatax ukhaxa.
1neutral
aym
Ukat ukampirus, mapit taqikunas qallantatawa, ukhatpach arktasmaxa.
Jichpach suyt'asma.
2contradiction
aym
Ukampirus, uñtam, lup'im.
Sapakutipuniw lupt'xa.
1neutral
aym
Ukampirus, uñtam, lup'im.
Janiw kunakis kunast lupt'añ munt ukaxa.
2contradiction
aym
Ukampirus, uñtam, lup'im.
Nayax yatwa kunats lup'iña ukxa.
0entailment
aym
Joel juparux jupanakaw apasxapxi, ukatx awichajax utaxanx llakinaw siwa, kunalaykutix, yatxtawa, taqiniw Joel juparux jisk'arjam uñjapxanxa.
Taqiniw utanx llakitapxäna kulaykutix Joelitxjamax amtasina
0entailment

Dataset Card for AmericasNLI

Dataset Summary

AmericasNLI is an extension of XNLI (Conneau et al., 2018) a natural language inference (NLI) dataset covering 15 high-resource languages to 10 low-resource indigenous languages spoken in the Americas: Ashaninka, Aymara, Bribri, Guarani, Nahuatl, Otomi, Quechua, Raramuri, Shipibo-Konibo, and Wixarika. As with MNLI, the goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B) and is a classification task (given two sentences, predict one of three labels).

Supported Tasks and Leaderboards

[Needs More Information]

Languages

  • aym
  • bzd
  • cni
  • gn
  • hch
  • nah
  • oto
  • quy
  • shp
  • tar

Dataset Structure

Data Instances

all_languages

An example of the test split looks as follows:

{'language': 'aym', 'premise': "Ukhamaxa, janiw ukatuqits lup'kayätti, ukhamarus wali phiñasitayätwa, ukatx jupampiw mayamp aruskipañ qallanttha.", 'hypothesis': 'Janiw mayamp jupampix p
arlxapxti.', 'label': 2}

aym

An example of the test split looks as follows:

{'premise': "Ukhamaxa, janiw ukatuqits lup'kayätti, ukhamarus wali phiñasitayätwa, ukatx jupampiw mayamp aruskipañ qallanttha.", 'hypothesis': 'Janiw mayamp jupampix parlxapxti.', 'label
': 2}

bzd

An example of the test split looks as follows:

{'premise': "Bua', kèq ye' kũ e' bikeitsök erë ye' chkénãwã tã ye' ujtémĩne ie' tã páxlĩnẽ.", 'hypothesis': "Kèq ye' ùtẽnẽ ie' tã páxlĩ.", 'label': 2}

cni

An example of the test split looks as follows:

{'premise': 'Kameetsa, tee nokenkeshireajeroji, iro kantaincha tee nomateroji aisati nintajaro noñanatajiri iroakera.', 'hypothesis': 'Tee noñatajeriji.', 'label': 2}

gn

An example of the test split looks as follows:

{'premise': "Néi, ni napensaikurihína upéva rehe, ajepichaiterei ha añepyrûjey añe'ê hendive.", 'hypothesis': "Nañe'êvéi hendive.", 'label': 2}

hch

An example of the test split looks as follows:

{'premise': 'mu hekwa.', 'hypothesis': 'neuka tita xatawe m+k+ mat+a.', 'label': 2}

nah

An example of the test split looks as follows:

{'premise': 'Cualtitoc, na axnimoihliaya ino, nicualaniztoya queh naha nicamohuihqui', 'hypothesis': 'Ayoc nicamohuihtoc', 'label': 2}

oto

An example of the test split looks as follows:

{'premise': 'mi-ga, nin mibⴘy mbô̮nitho ane guenu, guedi mibⴘy nho ⴘnmⴘy xi di mⴘdi o ñana nen nⴘua manaigui', 'hypothesis': 'hin din bi pengui nen nⴘa', 'label': 2}

quy

An example of the test split looks as follows:

.', 'label': 2}

shp

An example of the test split looks as follows:

{'premise': 'Jakon riki, ja shinanamara ea ike, ikaxbi kikin frustradara ea ike jakopira ea jabe yoyo iribake.', 'hypothesis': 'Eara jabe yoyo iribiama iki.', 'label': 2}

tar

An example of the test split looks as follows:

{'premise': 'Ga’lá ju, ke tási newalayé nejé echi kítira, we ne majáli, a’lí ko uchécho ne yua ku ra’íchaki.', 'hypothesis': 'Tási ne uchecho yua ra’ícha échi rejói.', 'label': 2}

Data Fields

all_languages

- language: a multilingual string variable, with languages including ar, bg, de, el, en.
- premise: a multilingual string variable, with languages including ar, bg, de, el, en.
- hypothesis: a multilingual string variable, with possible languages including ar, bg, de, el, en.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

aym

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

bzd

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

cni

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

hch

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

nah

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

oto

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

quy

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

shp

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

tar

- premise: a string feature.
- hypothesis: a string feature.
- label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).

Data Splits

Language ISO Family Dev Test
all_languages -- -- 6457 7486
Aymara aym Aymaran 743 750
Ashaninka cni Arawak 658 750
Bribri bzd Chibchan 743 750
Guarani gn Tupi-Guarani 743 750
Nahuatl nah Uto-Aztecan 376 738
Otomi oto Oto-Manguean 222 748
Quechua quy Quechuan 743 750
Raramuri tar Uto-Aztecan 743 750
Shipibo-Konibo shp Panoan 743 750
Wixarika hch Uto-Aztecan 743 750

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

The authors translate from the Spanish subset of XNLI.

AmericasNLI is the translation of a subset of XNLI (Conneau et al., 2018). As translators between Spanish and the target languages are more frequently available than those for English, we translate from the Spanish version.

As per paragraph 3.1 of the original paper.

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

The dataset comprises expert translations from Spanish XNLI.

Additionally, some translators reported that code-switching is often used to describe certain topics, and, while many words without an exact equivalence in the target language are worked in through translation or interpretation, others are kept in Spanish. To minimize the amount of Spanish vocabulary in the translated examples, we choose sentences from genres that we judged to be relatively easy to translate into the target languages: “face-to-face,” “letters,” and “telephone.”

As per paragraph 3.1 of the original paper.

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

Creative Commons Attribution Share Alike 4.0 International: https://github.com/abteen/americasnli/blob/main/LICENSE.md

Citation Information

@inproceedings{ebrahimi-etal-2022-americasnli,
    title = "{A}mericas{NLI}: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages",
    author = "Ebrahimi, Abteen  and
      Mager, Manuel  and
      Oncevay, Arturo  and
      Chaudhary, Vishrav  and
      Chiruzzo, Luis  and
      Fan, Angela  and
      Ortega, John  and
      Ramos, Ricardo  and
      Rios, Annette  and
      Meza Ruiz, Ivan Vladimir  and
      Gim{\'e}nez-Lugo, Gustavo  and
      Mager, Elisabeth  and
      Neubig, Graham  and
      Palmer, Alexis  and
      Coto-Solano, Rolando  and
      Vu, Thang  and
      Kann, Katharina",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-long.435",
    pages = "6279--6299",
    abstract = "Pretrained multilingual models are able to perform cross-lingual transfer in a zero-shot setting, even for languages unseen during pretraining. However, prior work evaluating performance on unseen languages has largely been limited to low-level, syntactic tasks, and it remains unclear if zero-shot learning of high-level, semantic tasks is possible for unseen languages. To explore this question, we present AmericasNLI, an extension of XNLI (Conneau et al., 2018) to 10 Indigenous languages of the Americas. We conduct experiments with XLM-R, testing multiple zero-shot and translation-based approaches. Additionally, we explore model adaptation via continued pretraining and provide an analysis of the dataset by considering hypothesis-only models. We find that XLM-R{'}s zero-shot performance is poor for all 10 languages, with an average performance of 38.48{\%}. Continued pretraining offers improvements, with an average accuracy of 43.85{\%}. Surprisingly, training on poorly translated data by far outperforms all other methods with an accuracy of 49.12{\%}.",
}

Contributions

Thanks to @fdschmidt93 for adding this dataset.

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