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:
Dyula
Size:
10K - 100K
License:
Dataset Viewer
Dyula
stringlengths 10
281
| emotion
stringclasses 7
values |
|---|---|
Aw murutira ka tɛmɛ aw lamini siya nunu kan.
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anger
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Nga min sɔrɔla dɔɔni dɔɔni,
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neutral
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I ka kuma ye fitinɛ ye ne sen ye.
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anger
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A hakili b'a la ko an ye buguri ye.
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disgust
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a ye sankolo kɛ a ka hakilitigiya la.
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neutral
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Jamana halakira u kɔfɛ, fɔɔ mɔgɔ te bɔ yen, mɔgɔ te tɛmɛ yen.
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sadness
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Ne bolo barikaman sababu la, a yɛrɛ bena u gwɛn ka bɔ a ka jamana kɔnɔ."
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anger
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Olu dɔrɔn tun bena kisi.
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neutral
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Ale be koo bɛɛ lɔn.
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neutral
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O suu nin na, a ma dumuni kɛ, a m'a to a ka gɛrɛfɛmusow si ka na la a kɔrɔ, a ma se ka sinɔgɔ.
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disgust
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O la, kabini sisan i bena kɛlɛ sɔrɔ."
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neutral
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A y'u bɔsi u juguw bolo loon min na,
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joy
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Dugutigi b'a fɔ ko: 'Hɔnhɔn, ko: su ka don.'
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neutral
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ne bena n kɔɔ le sin u ma u bɔnɛ loon na."
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fear
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nga u dusu yɔrɔ ka jan ne la.
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sadness
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O ye nations !
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surprise
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An tora an ka kɔlɔsili kɛyɔrɔw la,
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neutral
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a b'u tanga kojugu ma janko u kana ben.
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neutral
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"An kɛra nafolotigiw ye,
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neutral
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u ye kojugu caaman minw kɛ,
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neutral
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o tuma na, e bi gèlèya ni ka se ne ma an ka so,
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neutral
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Ala le y'an dogoyɔrɔ ye.
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neutral
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Loon min na mɔgɔ b'a yɛrɛ majigi,
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sadness
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Que yo ya lo saba todo,
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surprise
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Nga an yo mannin be'n, an yo mannin min."
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neutral
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Ala ya wula nɔgɔya. .
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neutral
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Muso fanan ma a fɔ ko ale kɔrɔcɛ le wa?
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surprise
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Adamadenw bɛɛ bɔra u mɔgɔ fila nunu na.
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neutral
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Mɔgɔ minw be Ala kanu ani u be mɛnni kɛ a fɛ, olu lo bena dugukolo fa.
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neutral
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O tigi ye hakɛ yafabali kɛ."
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anger
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o la, a yɛlɛmana ka kɛ u jugu ye, a y'u kɛlɛ.
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anger
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"Foyi tun te an faaw fɛ fɔɔ batofɛnkolon dɔrɔn,
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surprise
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n bena u jɛni kɛlɛ loon na, mankanba kɔnɔ,
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fear
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Ne tɔgɔ lara soo min kan, u y'o ka joow bila o kɔnɔ, k'o nɔgɔ.
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disgust
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Nuhun tun ye mɔgɔtilennin ye, a jalakibali tun lo a ka waati mɔgɔw cɛma.
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disgust
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Kuma kelen fɔ dɔrɔn, ne ka baaraden bena kɛnɛya.
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neutral
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A man fisa an ka segi ka taga Ezipiti wa?"
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fear
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An dɔ, "I-a koe min ma ka, nn ma a ɔ sɔn ni a gbasaya chɛ ɛ wan i boo ɔ, a ma koe a.
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neutral
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Mi sila ki yo ma kan ma yo maga kanla fanla le?"
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anger
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Nga aw bena halaki pewu!
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disgust
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U bena i dɛmɛ ka mɔgɔ nunu ka doni ta, janko i kana o ta i kelen.
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neutral
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Mɛn dooman, karo kɔnin, a ka wo lasii su kun na.
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sadness
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U bena i wele ko Masaba ka dugu,
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neutral
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I ra n gbɛn ka bɔ duu kan bi.
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fear
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ma yɛn tagawa ni wa ki kagala ke ni.
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neutral
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A ka kalandenw tagara dumuni sanyɔrɔ dugu kɔnɔ.
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disgust
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Ne be u di e n'i dencɛw ma ka kɛ aw niyɔrɔ ye tuma bɛɛ.
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joy
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Wasabaliya dogolen tun tè an na fana, Ala ye o seere ye.
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neutral
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Yala suuw be ni jigiya ye wa?
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neutral
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k'a kuun biri duguma i ko biin,
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neutral
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Sukununi nata bena kɛ o cogo kelen na.
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neutral
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Nkili nkili ka we kili ododo
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fear
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Ni o cè ye ko jugu kè, u ka a sendon."
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disgust
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Delili ye an ka batoli faan dɔ ye.
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neutral
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Ne bena n ka sagaw kisi ka bɔ aw daa la, u tena kɛ aw ka dumuni ye tugu."
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neutral
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O soon nin bena aw ka tigɛgwɛlɛya yira, a bena aw halaki i n'a fɔ tasuma.
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sadness
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Aw te faamuli kɛ halibi wa?
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surprise
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U ye dugu barikamanw halaki,
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joy
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Yafali - N ben'a sɔrɔ cogo juman?
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anger
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Ka "segi ka wolo tugu," o kɔrɔ ko di?
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neutral
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Nka Musa y'a fɔ ko: 'Ne tɛ foyi ye.
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neutral
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O ka fisa ni dencɛ ni denmuso sɔrɔko ye.
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neutral
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Fɛɛn bɛɛ kuntigi be se k'o lɔn wa?"
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neutral
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Se tɛ ne ye k'a dilan, se tɛ dugu mɔgɔ wɛrɛ ye k'a dilan, o dun bɛna kɛ cogo di ?
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anger
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An de b'a kalifa i ma, a ka sigi hɛra la, a ka wuli hɛra la.
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neutral
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Ne tun ye min di olu ni u faaw ma."
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anger
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a ye nɛɛ ko piin?
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neutral
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i ka baara kɛ tere kururu wa ?
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surprise
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E k'i jija o la, n'o kɛra, i bena i yɛrɛ kisi ani k'i lamɛnbagaw fana kisi.
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neutral
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Mun na aw b'a fɛ dugu nin ka kɛ tomo ye?
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neutral
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hakilitigiya be sɔrɔ sitigi fɛ.
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neutral
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N'a sɔrɔ Masaba bena fara ne kan, ne bena se k'u gwɛn i ko a tun y'a fɔ cogo min na."
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neutral
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Ala y'a ye ko fɛɛn dɔ tɛ yen nankɔtu nin kɔnɔ.
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neutral
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A y'a yira ko adamaden dafalen, see dira min ma ka koow latigɛ a yɛrɛ ma, a be se ka kantigiya dafalen kɛ Ala ye hali ni Sutana ye koo o koo la a kan.
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neutral
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Mɔgɔjugu nunu ye koo min la ne kan, ne bena sa o kama, k'a sɔrɔ ne m'o kɛ."
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anger
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asobi ni iko yo -
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neutral
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O ye sariya ye min tena dabila abada u n'u kɔmɔgɔw bɛɛ fɛ.
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neutral
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Bi, mɔgɔ caaman tɛ mɛnni kɛ Ala fɛ.
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neutral
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Nga sisan n deen, i ka dumuni kɛ ka minni kɛ, Matigi bena i dɛmɛ."
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neutral
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Taga hɛrɛ la, i kɛnɛyanin ka to."
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neutral
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A ko: "Masaba, e y'i ka jama min bɔ Ezipiti n'i yɛrɛ ka sebagaya n'i ka fanga ye, mun na i be dimi u kɔrɔ ten?
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neutral
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ne ka mɔgɔw, aw ye tulo malɔ ne fɛ.
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anger
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Walima i y'o mɛn mɔgɔ dɔw le fɛ?"
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surprise
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n te segi kɔ fana."
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sadness
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U n'u faaw murutira ne ma fɔɔ ka na se bii ma.
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disgust
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be mad? lo realii?
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anger
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"Damasi tena kɛ dugu ye tugu,
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neutral
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YALA i ma deli ka dajuru dɔ ta ani k'a ye kɔfɛ ko a ka gwɛlɛ k'a dafa wa?
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neutral
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i y'a fɔ ko n kana siran!
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fear
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Miiri k'a filɛ o bena min kɛ i la.
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neutral
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Aw ye taga tasuma don a la."
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anger
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e ka baarakɛlaw ka dalili lamɛn.
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neutral
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U bena soow lɔ, nga u tena sigi u kɔnɔ,
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neutral
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"Mi ma mi ye ni fuun kɛ ma yiri shyɛn ye wɔ le?
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neutral
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Lazari tun tɛ sankolo la, a tun tɛ jahanama tasumaman fana kɔnɔ.
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neutral
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O tuma na, i bena mun le kɛ i tɔgɔba nin kosɔn?"
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neutral
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Matigi be se k'o kɛ teliman na!
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neutral
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aw y'o kɛ jinaw ye k'aw Danbaga darabɔ.
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disgust
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A kɛra yɔrɔlakolon ye, mɔgɔ te yen, i n'a fɔ a be cogo min na bii.
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joy
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An bena koo caaman kalan Dawuda koo la.
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neutral
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Dyula-english Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Dyula-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: 36,382
- Joy: 3182 (8.7%)
- Sadness: 2741 (7.5%)
- Anger: 3129 (8.6%)
- Fear: 1982 (5.4%)
- Surprise: 2429 (6.7%)
- Disgust: 3565 (9.8%)
- Neutral: 19354 (53.2%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Dyula-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/dyula-english-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{dyula-english_emotions_corpus,
title={Dyula-english Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/dyula-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:
1.21 MB
Size of the auto-converted Parquet files:
1.21 MB
Number of rows:
36,382