Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
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44 items
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Updated
Dataset Viewer
Mossi
stringlengths 10
271
| emotion
stringclasses 7
values |
|---|---|
Bãwã idan yã yi salla?
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disgust
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"Da zoe rabeem ye, bala, mam bee ne foom.
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fear
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GhaM Ko BadnaaM Kar Gaye Aansu,
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neutral
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Nees nkaum yim Dudek ok -
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neutral
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Yef Y ne deye, thou gost to helle;
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anger
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Dil me lagi aag na bujh payegi,
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neutral
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Lamhon ki ek kitaab hai ye zindagi,
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neutral
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Humko kisi kitaab me ye to nhn mila,
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neutral
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kau tu yg noob,dah kne delete la kafir
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anger
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qu'il ne false ne ne ploie,
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neutral
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mercianþii încearcã sã ne facã sã credem cã ei,
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disgust
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tab jaa kar hmne hai ye aajadi paayi ,
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neutral
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Ne prefãceam cã afarã e soare,
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neutral
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Which ye shall taste before ye hang, to mortifie ye;
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neutral
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ba, to, bã zã ku aikata ba, sabõda
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anger
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Mai bine sã taci decât sã vorbesti rãu.
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neutral
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Me ya'o samebõrõta
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anger
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Lehrã bin ãyã Maiyã khosiyã lotãdiyã
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neutral
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ye rooz too jahanam hamdigaro mibinim
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neutral
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Les fards à yeux.
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neutral
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Ke Adakunom se mak be yir, aky ti daam yir ke a ti ra yir ?
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neutral
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Dindimmaa ko a faamaa ye ko, 'M faamaa, n na keetaafengo dii n na, meng mu n niyo ti.'
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anger
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Bãmb maana fãa, baa a ye ka pa ye."
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neutral
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Shyad Meri Kasoor ye hai ki aansu me Pani kam hai,
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sadness
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Siala bee ne yãmb paama barka n yiid paga fãa,
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joy
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Ye shaairi ye kitaabein ye aayatein dil ki,
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neutral
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Bãmb na n tika bãad-rãmb ne b nusi, la b na n paama maagre.
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neutral
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Says, Wae be to ye, waefu water,
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disgust
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sã stea munţii fãrã grai,
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neutral
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Kam ne bar ar ajã Xitumã karõn kum,
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disgust
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ye kaam tum karne waali ho, right...???
|
surprise
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Moses Ok Nkakra B Y Yie
|
neutral
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moses ok nkakra b y yie
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neutral
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"ai vã mai miraþi cã marea nu vã lasã sã mergeþi!
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anger
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ye jo muhabbat hai, ye unakaa hai kaam -
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neutral
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Ba ije markam dja ba me'ã ar amã karõ.
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neutral
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Vreau sã mã otie tot satul.
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neutral
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La b leoka a Zezi n yeele: Zu-soaba, wa n ges-y-yã.
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neutral
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Da ges-y y mens wa yam dãmb ye.
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neutral
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Pe ba le yãŋ cã ma yee Yãhã kai- sroŋ, ma ka Nsãn n ga pe tãã yi loho wo.
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fear
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La Israɛll nebã wa n yeela a Moiiz yaa: 'Tõnd kongame.
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disgust
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aadmi ne aaine ko hairt me daal diya hai;
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anger
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Mose maa yevese yem ken tar u Midian.
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neutral
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Dayã garibi bandagi; samatã shêla karãra,
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joy
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Vã rog sã mã înþelegeþi.
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neutral
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T'a Balaam leok yaa: 'Fo yaanda maam.
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anger
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Sã mai cearã o datã.
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neutral
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Kon Suhãgan Divã Bãliã Meri Maiyã
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neutral
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Maane na maane koyee duniya yeh sari ,
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neutral
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ye eh?ape yg d usha tu?
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neutral
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kyaa error aa raha hai ye bataye. to mai kuchh bata sakata hu.
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anger
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Bãmb b naasa fãa yaa toor-toore."
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neutral
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All Die be Die nti, yes nso yentie obiaa dabi ara da,
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surprise
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La bõe la d ne a Miise wakatã?
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neutral
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choke dee na toog toog kon.
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disgust
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N-o sã mã crezi,
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neutral
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Bala tõnd yãa bãmb ãdg yaanga, la tõnd waame n na n waoog bãmba.
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neutral
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Sabõda makãho yã je masa.
|
disgust
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hai tujhse ye ummed us maa ki,
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joy
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Khwaab bun ye zara,
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sadness
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En kaer Alba neb a vije,
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disgust
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Comme la machalï kã supã enfumée,
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neutral
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Pm sent to ye both.
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neutral
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Pagal hai saala ye,
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neutral
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ye samaa, samaa hai ye pyaar kaa -
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neutral
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Raam ka naam badnaam na karo,
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neutral
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A Zã-Mark ra bee ne bãmb n sõngd-ba.
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neutral
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Withã coffeeã whenã youã haveã timeã toã spare.
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neutral
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Gom-kãens yɛɛsa bãmba, la b basa a Zezi n looge.
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surprise
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Bahu ye to bta tuje ye sab aakhir kisne btaya ha,
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disgust
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ã DAN GE R!
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neutral
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Haha, blog yaa later.
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neutral
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Tõnd sõngda taaba,
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neutral
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yesterday y maana.
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neutral
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Rehne de ye kitaab tere kaam ki nahi,
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neutral
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nikakõixõ a mã ipaoni keskara anã mã ãfe tari kexa ramãkani.
|
anger
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Agar ye haal hai dil kaa to koi samjhaaye,
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sadness
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A Dieu, dans ma prière,
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disgust
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meng zhong de eji uudam -
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neutral
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Waseem yaar ye free he to hay..
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neutral
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Koi kya de raaye hamaare baare mai,
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disgust
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Bɛɛbã na n digame,
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neutral
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Vã rog sã mã iertaþi.
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neutral
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ye kyaa kar Daalaa tuune dil teraa ho gayaa -
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fear
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ye to duniya ka dastur h yaaro,
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fear
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tiIe oa yTo) uI B oT - oy opy ye BI-
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neutral
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Dil ko hai teri justujoo, yaa nabi,
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neutral
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M baaba maana kaalem zabrã poor bilfu.
|
sadness
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ii se loo dare a mii mamaa y a mii tia..
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fear
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Acum o sã ne fie greu, o sã ne parã cã nu mai aveti solutii.
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fear
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Kam che kha v ta ye maa la be dua raa,
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neutral
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Ka ce, "Shin, to, bã zã ku yi tunãni ba?"
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anger
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Wo ek boond ka Paani hu Mai,
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neutral
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Haaye mere paas se hoke,
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neutral
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Lot Ao ye mere DIL ki sada hai,,
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neutral
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mam tõe gesã ball rar a ye zãng tele wã zugu.
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neutral
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Ore ha'e ko tetã ãngapu,
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disgust
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B est pour balle be be balle
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anger
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Rasem a naas-n-soabã, bõe la a maan-yã?
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surprise
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Dãri Kluãng, sempãt lãgi terbãbãs ke Tãngkãk.
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disgust
|
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Mossi Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Mossi 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: 125,695
- Joy: 12456 (9.9%)
- Sadness: 7989 (6.4%)
- Anger: 7559 (6.0%)
- Fear: 5541 (4.4%)
- Surprise: 8216 (6.5%)
- Disgust: 10054 (8.0%)
- Neutral: 73880 (58.8%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Mossi
- 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/mossi-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{mossi_emotions_corpus,
title={Mossi Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/mossi-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:
3.72 MB
Size of the auto-converted Parquet files:
3.72 MB
Number of rows:
125,695