Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
•
44 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Bambara
Size:
10K - 100K
License:
Dataset Viewer
Bambara
stringlengths 5
494
| emotion
stringclasses 7
values |
|---|---|
U bè u tulow majò ka mènni kè, nka u tè foyi faamu.
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disgust
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Nga min hakili cɛnna,
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anger
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ma Yɛnŋɛlɛ yɔn sɛnrɛ yofɛnnɛ tɛgɛ.
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neutral
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yaw kou seww kou doyy waar nga !
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neutral
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tuze banake maut ka Ek niwala,
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disgust
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Aw bɛ a furakɛ ni mebɛndazɔli (mébendazole) ye.
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neutral
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barakallahu laka wa baraka 'alayka wa jama'a kuma fii khayr...
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disgust
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U bè min kè, u ma o dòn."
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disgust
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yg lain tu konon nye nk kne wt fyp la..
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neutral
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Nyamenle kulo kɛ ɔyɛ ye bieko.
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neutral
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Din ko yeh rakh rakhao wali shakal,
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fear
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a ben'a ka jamana n'a ka jama ka hakɛ yafa.
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joy
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Jòni bè se ka jò?"
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fear
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koun ma ramdan ngoulou yak ma ssi zemzami kan dareb chi kwiyssat !
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disgust
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Aw bɛ ji in to a wuliminɛn kɔnɔ ka aw ka baarakɛ a la.
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neutral
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a yé est! ça bug!
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disgust
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Pine laka kola ilöthikeu la itre iwaane sinöe, haawe, ame la kola traqa la itre wene ka tru, ke, cile catre kö itre ej
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neutral
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Diyen ye sogomada caman ye (Life has many mornings)
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neutral
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Tulo bè aw fè, aw tè mènni kè wa?
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anger
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A ya a fɔ anu ye ko, "A ya bore do sosa n yɛ la.
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joy
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Ahlan wa sahlan fikoun !
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neutral
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"Bɛdie bɛ mgbanyima ne mɔ na bɛli bɛ mɛla zo.
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neutral
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Ne b'i deli i ka u dèmè u ka taama ko la ni dèmèni ye min bè bèn Ala sago ma.
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neutral
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kasi: tenpo lili pini la mi tawa e ma kasi. ma ni li pona mute. kalama
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neutral
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Merci frerot.Allah yé anw to niongon yé.
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fear
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Na fisa adamadie bɛlɛxɛe bɛ."
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joy
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wati siapa wati?
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neutral
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jama ka sunat tareka,
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neutral
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Yala jigiya bɛ mɔgɔ salenw ye wa?
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neutral
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Ne bɛ n'kelen na, ani ne sirannen don, u bɛna ne faga.'
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fear
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U bè taama u yèrèw negew la.
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neutral
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Yème bien kurir ene mountanyeu, yé mé san comme ché moi.
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neutral
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Kɛ ɔkɛyɛ na yɛ ewule kenle ayɛ kpalɛ adɛla yɛ awolɛkenle ɛ?
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joy
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Yesu bɛ ka mun de kɛ sisan?
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neutral
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O don na mɔgɔ caman nana a yɔrɔ la.
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neutral
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Anyelielɛ a le menli mɔɔ bɛva bɛ ɛtane bɛhyɛ bɛ la
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joy
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Li vraî godin qui rûwe bin sins fé mau.
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disgust
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Ko n'bé sé nafa soro' la
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disgust
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Djôn yé djɔnkɛɛ lanamɔɔ hakilima di?
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neutral
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Ka Annabi Yisifu mabihi ti kana kpe o sani, ka o baŋ ba, ka bɛ nyɛla ban bi baŋ o.
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neutral
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ne fo yɛgɛ ilaa kamaasɛ i' bara imɔ-nyoro gɛsɛ sa mɔ."
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neutral
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Yo no sé ma yé vé révénirr et yé té racontéré, cé promis.
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neutral
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Kayes doudou denw ye, hakili djakabo ke, a wati kan.
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neutral
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Achiika Alizin' shintana maa mi ni bɛ yɛn ti zaŋ ba mi na (n-ti kari ba di saliya).
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disgust
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Kɔngɔ bɛ jɔn na yan ?
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neutral
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Mais borom clinique bi nan la mané accepté lolou? wala mom nanou toudé dom ji??
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disgust
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Dugukolo fana ni a kan fɛnw bɛɛ na jeni ka u ban.
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anger
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Mɔgɔ si ma se ka don Alabatosoba kɔnɔ, sani o tɔɔrɔ koba woloɛula ka kɛ ka dafa, olu minnu tun bɛ o mɛlɛkɛ woloɛula bolo.
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neutral
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Saa bɛka kɛ yɛ nee bɛ ɛraho a, yɛbahɔ.'
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neutral
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San wɛrɛ, n bɛna angilɛkan karan.
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joy
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ser- fen don koun fè, savoir
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neutral
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Baara caman bɛ ne bolo ka di i ma walisa i k'a kɛ!'
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neutral
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O bɛ a tigi to ni na fo aw ka dɛmɛ sɔrɔ.
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neutral
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O dɔrɔn tɛ, a kununna ka bɔ suw cɛma.
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anger
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Thei say, "We sall ye sew certayn,
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neutral
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I baba mi fa a mirima e ma, koni a kɔntɔfilixi ɛ tan nan ma fe ra.
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disgust
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aw est employé partout. lammakan. lakanna.
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neutral
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baaraden b'a ka sara kɔnɔna cogo min na,
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disgust
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té, nin sôïn do. - Mlè-si do, sa wala nyiné ? - A fo,
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neutral
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Yala i b'a fɛ k'a dɔn fɛn min kɛra o kɔfɛ wa?
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neutral
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U bɛ wili joona sɔgɔmada fɛ, ka tile bɛɛ kɛ baara la tilefunteni kɔrɔ, tuma dɔw la ali sɛgɛnnafiyɛnbɔ t'a la.
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sadness
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Ko Farafinna ye kelen ye,
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neutral
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U ye fiyentò wele k'a fò a ye ko: "I hakili sigi.
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joy
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Ndeye Ndiaye yaw boula Adama Fall khassé amnga loko yémalé.
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anger
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Den tɛ su bɛ kɛ sunɔgɔ la ka sɔrɔ a ma sin min.
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neutral
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A senw bɛ i ko samasen tasumamaw.
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anger
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O yé yaïe, every night
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anger
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merci beaucoup ma douce kala kila
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neutral
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A' ye kè kiraya nilifèn fè ka tèmèn tòw kan.
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neutral
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Allah kana sima dron o déyé douwawou yé!
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neutral
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seronok laa jenjalan kali ni , ye dak ?
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neutral
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walima ka mɔgɔ dɔ niyɔrɔ minɛ,
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disgust
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Adenle boni azo a yɛbahola yɛala atiakunlukpalɛyɛlɛ ali yɛahile Nyamenle azonvolɛ ɛnɛ a?
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neutral
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A sigira sigilan kan, dugu sanfɛ yɔrɔ la,
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surprise
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Duzu gyima a Nyamenle kile kɛ ye menli ɛyɛ ɛnɛ, na nwane mɔ a ɛlɛyɛ a?
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neutral
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a ka sigarɛti kelen firi n ma.
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disgust
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U ye fiyentɔ wele k'a fɔ a ye ko: "I hakili sigi.
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joy
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Makari bɛ se sɔrɔ kiri kan.
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neutral
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Ko: Ni I bolongoni denkelen sin ne mogola, ni o be otigi ke fen ye, i te a bolongoni den tan be sin i yerela folo wa.
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sadness
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Ni bonjour, ni merci, ni titre correct, ni explications.
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neutral
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ni bɔnɛ bɔra yɔrɔjan ka na,
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fear
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Allah nièssiraniè doron dé bé anw na kari
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neutral
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A' ye wuli, an ka taa ka bɔ yan.
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neutral
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Sariya ni kiraw bɛ a seereya kɛ.
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neutral
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A senw bè i ko samasen tasumamaw.
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anger
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hé bé.. ola ou té ka séré frè aw la sa lool
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neutral
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Ni kunu ma to mogo mi kono, bi bé to i kono
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sadness
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I ka fɔlen ye 'cyɛn ye.
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neutral
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nafolo ni kunkɔrɔta fana b'a numanbolo fɛ.
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neutral
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Ika miy ina wol gninila
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anger
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Nin ye julakan baroda ye.
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anger
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Aw bɛ a caman fiyɛ ni ninakili fereke ka jugu
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neutral
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O waati, a' bɛ kɔkɔ bila.
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neutral
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O bèè n'a ta, sira min ka fisa ni o bèè ye, ne bèna o jira aw la sisan.
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neutral
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Kɛ Zoova i sran mun bé bó jasin fɛ'n,
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neutral
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Hai koun sa ye jahan aaj jaha
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disgust
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But, since ye maun hae tunefu' fame,
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neutral
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Boro kulu kaŋ maa ni baaru ga kobi ni sabbay se, Zama may boŋ no ni laalayaŋo mana gana han kulu?
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neutral
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Ne muso bɛ so kɔnɔ.
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neutral
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karîminn, yâ arhama min kulli rahîminn, yâ a'lama min kulli
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neutral
|
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Bambara-english Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Bambara-english 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: 53,472
- Joy: 3977 (7.4%)
- Sadness: 2877 (5.4%)
- Anger: 2635 (4.9%)
- Fear: 2187 (4.1%)
- Surprise: 2885 (5.4%)
- Disgust: 4990 (9.3%)
- Neutral: 33921 (63.4%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Bambara-english
- 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/bambara-english-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{bambara-english_emotions_corpus,
title={Bambara-english Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/bambara-english-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
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Size of downloaded dataset files:
2.57 MB
Size of the auto-converted Parquet files:
2.57 MB
Number of rows:
53,472