Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
•
45 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Umbundu
Size:
10K - 100K
License:
Umbundu
stringlengths 7
498
| emotion
stringclasses 7
values |
|---|---|
U o ñolela, ndaño o fa, haimo o kala vali lomuenyo."
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neutral
|
Elipi po womwaava vavali a longa ehalo laxe?"
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neutral
|
yuhapi sni ye, onakipe wanjila
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disgust
|
Yosiya wa linga osoma yo Yuda eci a kuata anyamo ecelãla.
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neutral
|
Ali) O ye who believe!
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anger
|
Paulu wa popia hati: "Tu yongola oku kala vakuacili kovina viosi."
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neutral
|
Kuaci Kupas Mola
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surprise
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Nda wa lia kepako liuti waco, haico o fa.'
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anger
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Eli esapulo liwa kolondonge viosi via Yesu vakuekolelo.
|
joy
|
Alua Baikadamova - Alua Ibrayeva
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neutral
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Opo nee Jehova okwa li a tuma Moses namumwaina Aron va ka pule Farao a mangulule Ovaisrael.
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neutral
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PaEndjovo daKalunga, ope na ashike omalongelokalunga omaludi avali elipi?
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neutral
|
Mahi etyi ovatumini vetuyeka tukale motyilongo, atulukala ondyuo onene.
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joy
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Oku sumbila Suku oko ono yolondunge viocili.
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fear
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Momo lie olonjali viange ka vi ngecelela oku linga ovina viaco.'" - Anne
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fear
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Songuile vonjila ka yi pui.'
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neutral
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Onghee hano, okwa li a nyamukula ovadali vaye nombili a ti: "Oshike mwa konga nge?
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fear
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Momo lie o nukuila oku linga osoma?'
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neutral
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Jon: Ndi sima okuti ondaka yaco yi tiamisiwila ku Suku.
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neutral
|
Momo ove wa sovola ovina viosi.
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neutral
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A Suku, wa ndi longisa tunde vutila wange.
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surprise
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Ivaluka Vamanji va Litumbika Kupange Wotembo Yosi
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neutral
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Onduko yove yi sumbiwe." - Mat.
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neutral
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Tungelo ve ku tu tuamena,
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disgust
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Eci ca kapaile omuenyo wange kohele kuenje olonjanja vimue nda ambataile uta.
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fear
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Satana, omupukifi munenenene, okwa kala ta 'twikifa eendunge daavo vehe na eitavelo' oule womido omayovi.
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disgust
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Ame nda kolelele ku Suku, pole, sia tavele ku Satana." - ROGELIO.
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fear
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Wa lekisa okuti ukuacili kovina vitito.
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neutral
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Kape na omalimbililo kutya okwa hovela okuhongwa diva konima eshi a shitwa e li omudalwa wotete waKalunga.
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neutral
|
Olayeye Olumuyiwa,
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neutral
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Onda ehena elela popepi naKalunga eshi nda li monghalo oyo idjuu."
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joy
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Olondaka vi kuãimo vi kasi ndombangulo yimue Ombangi ya Yehova yi pondola oku kuata lomunu umue posongo.
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neutral
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Ile otashi dulika Omukriste a kale ta fininikwa kovapambele ovo vehe fi ovaitaveli a hombole ile a hombolwe 'manga ina kulupa.'
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neutral
|
aliye vali sooti kheyli dare
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joy
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Ola li la hongaula nokuyula Ovaisrael vahapu, ndele tava efa po okulongela Kalunga kashili.
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joy
|
Omo liaco, ka kisikiwa oku tu sapuila esunga liaco.
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neutral
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Eteke Lioku Ivaluka Ava va fa.
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sadness
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Olye ta vulu oku gu uva ko?"
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anger
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Mbela ova li ngoo tava ka dula okuuda ko Omhango yaKalunga ngeenge kave shii elaka lOshiheberi?
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neutral
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Omuenyo ka wa lelukile Kakristão vokaliye.
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sadness
|
Eye o laika oku viala omanu vange."
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anger
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Ngeenge onde va lekele va ye komaumbo va fya ondjala, otava ka pundila mondjila, osheshi vamwe vomuvo ova dja kokule."
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neutral
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Oha kala efimbo lihapu pamwe nomumwatate omunamido nokupwilikina kuye nelitulemo eshi ta popi.
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disgust
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Ovo, asongui volomeke."
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neutral
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Eli efindano linene kovatumwa.
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joy
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Ewan ko! ndi ko ALAM!
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neutral
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Ashike kava li ve shii efiku Omwene wavo te uya, onghee ova li va pumbwa okukala oupafi.
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neutral
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Nda nda va tuma onjala kolonjo viavo, va ambukila vonjila, momo vamue pokati kavo va tunda kupãla."
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neutral
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ale la valalua me hatavivile igogolu ovola,
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disgust
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Suku ka tambulula kohutililo ndoyo.
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neutral
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Fimbo 'onhalanheni yaKalunga ye va teelela pomafiku enya aNoa,' Kalunga okwa li a ninga po omalongekido opo a xupife Noa noukwaneumbo waye.
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fear
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Kuenje o lombolola eci ci sukiliwa oco omunu a popeliwe poku popia hati: "Likolisili oku iñila vombundi ya sukatela."
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surprise
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sumba waikelo sawah,
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fear
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Vamue pokati 'kakamba' vange, va fetika oku fenya olodroga; vakuavo va liwekapo oku endaenda kosikola.
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disgust
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Tu tumbika kokuove onjo,
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joy
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Yesu wo likuminya hati: "O ka kala kumue lame Vocumbo Celau."
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neutral
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Pefyo lavo opo hava tokolwa ngeenge ova wana
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neutral
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Pole, ivaluka okuti, vamanji vana va amamako loku pandikisa, va ka tambula onima.
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neutral
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Ndiaye Abdoulaye Penda
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neutral
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Otava pula kutya fiyo onaini tava kala ngaha medu lavo vene.
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neutral
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"Ndongise Oku Linga Ocipango Cove"
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neutral
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siran ndun ko muliliyota ko Jahan-
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fear
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Omo lionjongole yoku mõla eci eye a kala oku lilongisa, nda fetikavo oku lilongisa.
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anger
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Vetiya olonjeveleli viosi oku tala ovideo yosi.)
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neutral
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Yesu wa popia hati: "Okuambambe!
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anger
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Ovilia viaco vi linga eteku lianyamo epanduvali elambu ana a laika oku iya oco omanu ka va ka fe lonjala.'
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sadness
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Eci nda pasuka loku vanja omõlaco wa fa, nda limbuka okuti omõlaco hawangeko.'
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neutral
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yambuma toku konjulemele,
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neutral
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Toke cilo, etambululo Daviti a eca, li lekisa okuti eye kuatele ekolelo lia pama.
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neutral
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Omo liaco, ovaprofeto vesanda tu pondola oku va limbukila kalongiso avo kuenda kovilinga viavo.
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neutral
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Osha li sha fa ovatondi va 'tinha,' ile va nyeka ko nonyanya omaumbo oshilando.
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anger
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Yehova wa sapuila Mose hati, 'ku ka yokoke.
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fear
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Tala vali kefetikilo liocinimbu eci.
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neutral
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Vutuhu ngoco ua vundilile linga cizango ca Njambi ci lingike kati ceni.
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disgust
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Aveshe ova li ko pefimbo eshi Jesus a li kombada yedu nova shanga kombinga yaye.
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neutral
|
Tradução Anytime you like
|
neutral
|
Aakwanegongalo oyali ya holoka momwaalu omunene kelongeloKalunga Osoondaha ndjoka.
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anger
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Ovina nda lilongisa konembele ka via ñuatisile.
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disgust
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Nalo yembo mare umbu lupe molkolie ulu te teringimunge Romo yemboma moloringimunge pep te siringi nosiku moloringi.
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neutral
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VIUMA viose via cili vi tua kala navio via fuma kuli Njambi.
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neutral
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Noke eye wa popia hati: 'Ene wa lisoki lalume vaco.
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neutral
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Ulume kumue lonjo yaye yosi va kolela Yesu."
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neutral
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Votoka; eye wa ku vilikiya."
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anger
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Ngã pe pandu u'am: 'Jandema'e sawa'e te rape ke emutatambyk 'y.
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neutral
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A Kalunga ño, leci cilimo sivayi.
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joy
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Ovo va popia vati: 'Tu litungili olupale kuenda tu kalamo.
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neutral
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Okuti katukevelela ovafendeli vae tupu vakala tyaongana?
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neutral
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Mana yetu Saimi wa papatisiwavo kunyamo waco.
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joy
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Eye wa popia hati: "A Tate, nda wa panga, njupe okopo eyi.
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anger
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"Eye wa tambulula hati: 'ndi sukila oku enda kilu.
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sadness
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Ko kaafir-u chavey, ko momin-u chavey,
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neutral
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Nda wa ku yeva, wa kuatisa manjove."
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neutral
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Eye o ka "nyõla ava va nyõla ilu lieve."
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anger
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Sokolola ndeci okuti, ekamba limue lio kosikola li ku sapuila hati: "Sitava okuti kuli Suku.
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disgust
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Nda ove vu Kristu, tu sapuile ocili."
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neutral
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yetu hena wocekiye onkeyapi sni,
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neutral
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Onjanja yipi yasulako nda soneha ukanda umue woku eca olopandu?
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neutral
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Tala nghee to dulu okuyakula mo omukulukadi woye moilonga yaye.
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neutral
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Jesus okwe va lombwela yo kutya ove na okwiilikana opo va pewe oikulya yefiku, opo omatimba avo a dimwe po nosho yo kombinga yoinima ikwao yopaumwene.
|
disgust
|
Koloneke vilo, tu kuete ovina vialua okuti Avirahama ci sule.
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neutral
|
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in Data Studio
Umbundu Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Umbundu for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model j-hartmann/emotion-english-distilroberta-base. The dataset is part of a larger collection of African language emotion analysis resources.
Dataset Statistics
- Total samples: 83,350
- Joy: 8369 (10.0%)
- Sadness: 5432 (6.5%)
- Anger: 4599 (5.5%)
- Fear: 3944 (4.7%)
- Surprise: 5246 (6.3%)
- Disgust: 6907 (8.3%)
- Neutral: 48853 (58.6%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Umbundu
- emotion: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The emotion labels were generated using:
- Model:
j-hartmann/emotion-english-distilroberta-base - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/umbundu-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{umbundu_emotions_corpus,
title={Umbundu Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/umbundu-emotions-corpus}
}
License
This dataset is released under the MIT License.
Contact
For questions or issues regarding this dataset, please open an issue on the dataset repository.
Dataset Creation
Date: 2025-07-04 Processing Pipeline: Automated emotion analysis using HuggingFace Transformers Quality Control: Deduplication and batch processing optimizations applied
- Downloads last month
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Size of downloaded dataset files:
3.38 MB
Size of the auto-converted Parquet files:
3.38 MB
Number of rows:
83,350