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
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Akan
stringlengths 11
477
| emotion
stringclasses 7
values |
|---|---|
Deɛ ɔyɛɛ ani no, ɔrenhunu adeɛ anaa?
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surprise
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Tie su a wo ɔsomfoɔ resu ne mpaeɛ a wo ɔsomfoɔ rebɔ akyerɛ wo ɛnnɛ.
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neutral
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Nyamenle anye anlie nwo na ɔhwenle bɛ nzo wɔ nwolɛ na ɛhye ka yɛ ɛnɛ.
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disgust
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deɛ ɔtutu anyansafoɔ adenim guo
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neutral
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Nɔhalɛ nu, awie tɛladeɛ nu mɔɔ ɔbasuosua la ɛngile ɛhwee wɔ Nyamenle anye zo, kyesɛ ahenle nyɛleɛ ne yɛ mɔɔ ɔvi ahonle nu.
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neutral
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Nziezielɛ boni mɔ a yɛlɛ mɔɔ bɛmaa yɛ diedi nu mia a?
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surprise
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Lɔɔto nee ye abusua ne hwehwenle bɛ bo aze, yemɔti anwumabɔvolɛ ne mɔ zɔle bɛ sa na bɛ nee bɛ rale suakpole ne kandiba.
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neutral
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Akee, bɛyeye nyevile nu ɛnlonkoɛ ɛhye bɛfi bɛ abonle ne anu amaa bɛ sa aha bɛ nloa nzule ne.
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neutral
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Mʼani nsɔ mo, na merennye afɔrebɔdeɛ biara a ɛfiri mo nkyɛn," sɛdeɛ Asafo Awurade seɛ nie.
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disgust
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Asoo Nyamenle adwenle bahola ayi mɔɔ ɔnrɛnwu wɔ na yeadie wɔ nzɛlɛlɛ ɔ?
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joy
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na amumuyɛfoɔ bɛsane aba wo nkyɛn.
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joy
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na afoforɔ nso, wɔn apɔnkɔ so,
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neutral
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ɔkɔɔ wɔn mmoa wɔ berɛ bi a atwam.
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neutral
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Kɛzi ɛdele nganeɛ wɔ mekɛ mɔɔ wɔanlie wɔando nu la ɛ?
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disgust
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Suzu tɛnlabelɛ ɛhye anwo: Wɔ mekɛ mɔɔ Tim nee ɔ gɔnwo mɔ ɛlɛdi nwɔhoa la ɔbɔle bɔlo ne ɔmaanle ɔhɔbɔle awie mɔɔ de bikye bɛ la kale neanleɛ ne anu.
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disgust
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Nwonlomɔ mangyee, kolaa na wɔabɔ alehyenlɛ ne anu gyima bo, anzɛɛ nɔsolɛ nu mɔɔ ngakula ne mɔ ɛhɔla la ɔ?
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neutral
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wɔbɛka akyerɛ wo sɛ,
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neutral
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Abɔnsam atuadelɛ ne yɛle anwumabɔvolɛma mɔɔ di nɔhalɛ maa Nyamenle la amuala azibɛnwo, bɛvale ɛya yɛɛ bɛ nye anlie ɔ nwo bieko.
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disgust
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Bie mɔ dwenlenle kɛ: 'Kɛmɔ awozonle ɛnle ɛhwee la ati, bɛkola bɛdi nane ne mɔɔ bɛ adwenle ɛngyegye bɛ a.'
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disgust
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Bɛhanle kɛ, "moalɛ mɔɔ bɛ mediema mɔɔ bɛwɔ ɛleka ngakyile ɛva ɛboa bɛ la ɛmaa bɛ anwodozo mɔɔ bɛlɛ ye wɔ Gyihova anu la ɛyɛ kpole."
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disgust
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I-ium' i-le, i-tau uro i-wene ne basa kuo iape teve tilu pon;
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fear
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soro soro kaeru jikan nai no bye (yeah! yeah!)
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neutral
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Menli mɔɔ bɛnze nwoma la a Belemgbunli ne ɛlɛmaa bɛahɛlɛ mbuluku dɔɔnwo, bɛahile ɔ bo na bɛahyɛ ye wɔ ewiade amuala a!
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neutral
|
Dwenle ɛhye anwo: Duzu ati a ɛdie ɛdi kɛ Nyamenle ɛbɛlabɔlɛ nu ngyinlazo ne mɔ le kpalɛ maa wɔ a?
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fear
|
Nyamenle yɛle ɛlɔlɛ ngyehyɛleɛ ɔvale ɔliele alesama ɔvile ewule nu, ɔlua ɛkpɔnedeɛ ne mɔɔ ɔduale la azo.
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neutral
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Ye avinli ne mɔɔ tɛlɛ la a bɛfa deɛ ne mɔɔ bɛkulo kɛ bɛto mɔɔ ɔta ɔyɛ bolɛ la bɛto a.
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neutral
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Mɔɔ Belemgbunlililɛ ne ɛyɛ mɔɔ yɛzuzu nwolɛ wɔ buluku ɛhye anu la boni a ɛmaa wɔ diedi nu ɛmia a?
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neutral
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anaa osutɔberɛ mu nsuo a ɛfɔ asase."
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anger
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"Brɔda hwɛ wo ho so yie oo, yɛ kasaa wontie!"
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neutral
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Kɛzi bie mɔ ɛhile kɛ bɛfa bɛ nwo bɛto Nyamenle anwo zo wɔ bɛ gyima nwo ɛ?
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neutral
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AI cannot beat me! muahahaa
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anger
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ogyaframa hyee amumuyɛfoɔ no.
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anger
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Mesrɛ wo, yɛbɛnya daberɛ wɔ wo agya fie ama adeɛ akye anaa?"
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neutral
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mekasaeɛ no, obiara antie.
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disgust
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wɔde wo tete tumidie no bɛsane abrɛ wo;
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neutral
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Woanya yareɛ bi berɛ tenten anaa?
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neutral
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ne dadeɛ mpɔkyerɛ ngu wɔn atitire,
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neutral
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Nwane mɔ a boka "tenlenema" ne mɔɔ bɛbadwazo bɛ la anwo a, na kɛzi anyelazo ɛhye bahola aboa ɛdawɔ mumua ne ɛ?
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neutral
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na sɛdeɛ madwene ho no, ɛrensesa.
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neutral
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nsuo atwa he ho ahyia anaa?
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surprise
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wodaa berɛ bɛn?
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neutral
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Bɛdwenle kpalɛ na bɛbua bɛ nwo ndɛne ngoko wɔ diedi dodo mɔɔ Nyamenle ɛva ɛmaa bɛ la anu.
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fear
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Bie mɔ ɛva Nyamenle anwo ɛya wɔ bɛ ahonle nu.
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neutral
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Awurade bobom wɔ nsuo akɛseɛ so.
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neutral
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ofɔɔ mumuii awiemɔ vidioi ajiemɔ.
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anger
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ɛfiri sɛ, monim deɛ ɔte ase firi ahyɛaseɛ no.
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neutral
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Ehye besia ayaadze hyehyeehyew,
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anger
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Duzu ati a bɛyɛ gyima ɛhye mɔ amuala ɛ?
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surprise
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wode faa nsuo kɛseɛ mu,
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neutral
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na wɔmfa sankuo ne akasaeɛ nto dwom mma no.
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joy
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evil"), and Papa asusu de rekɔ no, na bɔne di akyire rekɔgye ("While goodness is
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disgust
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Na bɛ nwonane afoa nu ngyianlɛdeɛ noko ɛ?
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neutral
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ne nnebɔneyɛfoɔ dodoɔ no gyegyeegyeyɛ ho.
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disgust
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Ninyɛne ɛhye mɔ nee dɔɔnwo mɔɔ boka nwo la a Nyamenle zuzule nwo wɔ mekɛ mɔɔ ɔlɛfa ahyɛlɛdeɛ mɔɔ tɛla biala yeamaa alesama la a.
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neutral
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Bɛlɛ ndwenlenwo nee adwenle, yemɔti ɔwɔ kɛ bɛkile adiemayɛlɛ bɛmaa bɛ nwo ngoko.
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neutral
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Yɛtwe yɛ nwo yɛfi maamɛla, amaamuo nee diedi mɔɔ vi adalɛ ɛzonlenlɛ nu la anwo.
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fear
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Bɛdabɛ mɔɔ bɛda subane ɛhye mɔ ali la, ɛnlɛ abotane.
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neutral
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ɛfiri sɛ, watwe ne ho afiri wɔn ho.
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sadness
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Nyamenle ɛnnea sonla nyunlu; ɔdie maanle biala anu sonla mɔɔ ɔkulo ye na ɔyɛ mɔɔ le kpalɛ la ɔto nu
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neutral
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wʼabɔdeɛ ahyɛ asase so ma.
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neutral
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Maa ɛ nye ɛlie abɔdeɛ nwo.
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joy
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Mɔɔ tɛla ɛhye la, bɛmaa ɛnyia anyelazo na eza ɛ nye die.
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joy
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Bɛlehyaza nee ye nyɛvolɛ ne mɔ nlonle ahɔpo ne mɔ anu na bɛhanvole bɛ awozonle ne mɔ.
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anger
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meda mmoa a wɔwe ɛnam mono mu,
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joy
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ewiase ne wɔn a wɔte soɔ nyinaa wɔ no;
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neutral
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Nu ɛ nwo wɔ mɔɔ wɔyɛ la anwo amaa wɔ anzohwenlɛ ne anyɛ kpole.
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neutral
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Duzu ati a ɛkola ɛda Selɛ ne ali ɛkile awie mɔ ɛ?
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neutral
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ɔfirii ha berɛ bɛn?
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neutral
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Wɔ mekɛ ɛhye mɔ anu, anwuma abɔdeɛ ne mɔ a bɔle adwelielilɛ ne abo a.
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neutral
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sene sɛdeɛ awɛmfoɔ twene adekyeɛ.
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surprise
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wo nokorɛ kɔka ewiem.
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neutral
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ama wɔn nkaeɛ ayera.
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neutral
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Noko akee, mgbanyima ne mɔ bɔ mɔdenle fa nwunu di gyima na bɛnwu debie kpalɛ wɔ bɛ nu.
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neutral
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na wɔn mma nso nka nkyerɛ awoɔ ntoatoasoɔ a ɛdi soɔ no.
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neutral
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Mɔɔ bɛnwunle ɛzoanvolɛ ne mɔ la, bɛhanle mɔɔ ɛzi la bɛhilele bɛ.
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neutral
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ɔde nnwontoɔ bɛma nʼani agye wo ho.
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joy
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Duzu ati a ezule ne bɔle ɔ bo kɛ ɔtɔ la awie biala angola angɔ ɛlɛne ne anu a?
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surprise
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nkrofuo no se, "Mo ahunu se adie a y'aye ama ye'wura, aduane mpo ato sese
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neutral
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na nkwaseafoɔ nte aseɛ,
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disgust
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Nɔhalɛ nu, bie a wɔbiza awie ahye zɛhae ɛlɛ.
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neutral
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Bɛye Nyamenle ayɛlɛ wɔ ye abɔdeɛ mɔɔ yɛ nwanwane la anwo
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joy
|
'Di wɔ papa nee wɔ mame eni' a le mɛla mɔɔ limoa mɔɔ ɛwɔkɛ wɔ nwo a: 'Amaa yeawie wɔ boɛ na wɔahyɛ azɛlɛ ye azo.'"
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neutral
|
sweet, take Nti ne se, da wo behuno Ananse na ota' padie mu, nankra eka' no,
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neutral
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Wɔ zɔhane tenlene ewiade fofolɛ ne anu nɔhalɛ ɛzonlenlɛ kokye ala a badɛnla ɛkɛ a.
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neutral
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Boa wɔ tievolɛma maa bɛde kɛzi wɔ edwɛkɛ ne baha bɛ ɛbɛlabɔlɛ la abo na kile bɛ mɔɔ ɔwɔ kɛ bɛyɛ wɔ mɔɔ bɛzukoa la anwo la.
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anger
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Emomu, "wɔ maanle biala anu awie biala mɔɔ sulo ye na ɔyɛ mɔɔ ɔle kpalɛ la, ɔdie ye ɔto nu."
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fear
|
ASOO ɛ nwo ɛhyele wɔ ɔluakɛ ɛnde kpɔkɛ, ɛlɛyia ezukoa afoa nu ngyegyelɛ anzɛɛ ɛkpɔlɛ ɔ?
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neutral
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Neɛ ɔbrɛ na ɔdie
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sadness
|
Yeanyɛ boɛ fee la, saa ninli nee selɛ bɔ nu kilehile bɛ mra Nyamenle anwo debie a, bɛmaa bɛ ahyɛlɛdeɛ nwiɔ mɔɔ sonle bolɛ.
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anger
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wɔn a tumi wɔ wɔn nsa mu no yɛ deɛ wɔpɛ,
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anger
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Nwane a le kakula raalɛ ekyi ne mɔɔ wɔ nvoninli ne anu la, na duzu a ɔyɛle a?
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surprise
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Bra bɛ hwɛ, wɔn nso na club no wɔ bɛe
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disgust
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Zɔhane ala a awie mɔɔ ɛzulolɛ ɛha ye anzɛɛ ɔmaa bɛpiepia ye la ɛngola ɛnyɛ mɔɔ ɔdaye mumua ne ɔkulo la a.
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fear
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An nebeutañ a bep buhez, hag eno an deraou,
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disgust
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wama wo ɔtamfoɔ asane nʼakyi.
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anger
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Noko akee, ninyɛne nwiɔ bie ati, memkpole nwolɛ adenle ɛhye.
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neutral
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Yɛ nuhua dɔɔnwo ɛnwu bie wɔ ewiade ɛhye mɔɔ ɛkpɔlɔ la anu.
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neutral
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Duzu ati a bɛ nwo ɛnlunlɛ nwo hyia a?
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anger
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Duzu ati a ɔvale folɛdulɛ ɛhye mɔɔ anyebolo wɔ nu la ɔmaanle menli mɔɔ ɛnee bɛdu bɛ nwo bɛmaa Nyamenle na bɛva sunsum nwuanzanwuanza ne bɛkpokpa bɛ la ɛ? - Wlo.
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fear
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Ne boɔ yɛ den dodo.
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neutral
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Akan-english Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Akan-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: 6,427
- Joy: 770 (12.0%)
- Sadness: 434 (6.8%)
- Anger: 363 (5.6%)
- Fear: 242 (3.8%)
- Surprise: 434 (6.8%)
- Disgust: 474 (7.4%)
- Neutral: 3710 (57.7%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Akan-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/akan-english-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{akan-english_emotions_corpus,
title={Akan-english Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/akan-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:
333 kB
Size of the auto-converted Parquet files:
333 kB
Number of rows:
6,427