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
Igbo
stringlengths 7
478
| emotion
stringclasses 7
values |
|---|---|
Banyere ntutu, ha kwuru: N'ezie, enwere ike idozi ya na mmanu di nkpa!
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anger
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Bia ka madu ghar'inwu,
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neutral
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nyere na otu onye n'ime ha, n'ezie, Inochibokusho (?
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neutral
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Si n'ala Kitim, nke a ka e kpughere ha.
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neutral
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Anyi ehiwela isi nke eziokwu wee si n'iru ya puta. ..
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neutral
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Unu ejila akpa obula maka nje m unu, mobu uwe abuo, mobu akpukpukwu, mobu mkpo;
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neutral
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Mana onwegasili ife mmadu ga-eme, ndi ebe ahu e tuo ya osu.
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neutral
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Chee echiche taa banyere ihe omuma banyere ndi mo-ozi.
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neutral
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Gini ka mmadu ga-enweta n'ike oku, ose ga-eji fugbuo ya.
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neutral
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Ya mere onye o bula nke nwere ihu ojoo nke mere ka ihere mee ya n'uzo o bula, a ga-akwara ihe ya laa.
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neutral
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O chukwu nna!
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sadness
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echiche nke mmad, kama ewepu ya, ot ah ka ah nke a na-predicated nke nd ah,
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disgust
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E nwere nnoo nkà n'udi na agba na uwa a; katuunu-di ka eserese apughi mpi.
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neutral
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Chineke adighi agha agha n'ime nkwa Ya: O buru na O kwere anyi nkwa na a ghagh iza ekpere obula, Obu ...
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neutral
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O bu otu onye n"ime ndi na eme ihe nkili.
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neutral
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Buru n'uche na ka mwakpo ndi iro na-etolite, Chineke di nso karie nkpuru obi.
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disgust
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Chineke ga-adoba iheoma n'apata ukwu unu abuo.
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neutral
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Mo nalaghachikuru Chineke na onwu, mgbe ahu omuma nke onodu onwe nile nakwusi.
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neutral
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Zomwear onli wee noh?"
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surprise
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ga seum kka ji si won han chum chu neun geo ya
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joy
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Nkpuru a abughi nke gi, kama Kraist no nime gi.
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neutral
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I na-eguzogide Mmuo Nso mgbe nile; dika nna-unu-hà mere, otú a ka unu onwe-unu n.
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neutral
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Ma unu asiwo, Nìme gini ka ayi lelìworo aha-Gi?
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disgust
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Unu dizi ka nku nke a guputara n'oku ma unu aloghachikwuteghi m," Yahweh na-ekwu.
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sadness
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Onye nachi enu uwa dum.
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neutral
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Esi ewepu ha?Gini mere aru nke ufodu ozi ndi agbaghaghari efu?
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neutral
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Aka nri Gi juputara n'ezi omume.
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neutral
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Mee ha ihe i mere Midian , ihe i mere Sisera ,
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neutral
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onye m'nēzighachiri gi, ya onye-ya, nke ahu bu, obi nkem:
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neutral
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Mgbe olu nke ndu sir'ike,
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neutral
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Rue mgbe ayi genwe onodu n'igwé.
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neutral
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N'ihi na ihe e dere banyere m nwere mmezu ya. "
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joy
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Mana n'ihi na mmadu ahughi onye inyeaka nke ga-eme ka o zuo ezu ."
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fear
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Eee Sema abla bu bulur tabiki D:
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neutral
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Na ejeghari na ebe ncha,
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joy
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, akw?kw? ike r?r? agbaziri iru, n'ihi ikpe na-akp? iji jide n'aka na ? debanyere si ?ma amu.
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neutral
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Ma obi-ayi adigh-am'ayi ikpe,
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neutral
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Ugbu a, o ga-echeta mmehie ha ma taa ha ahuhu maka njo ha, ha ga-alaghachi azu n'Ijipt.
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anger
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Iga n'iru bu ndu. iraghachi azu bu onwu. it's biafra or death
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neutral
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ooo.. ada ya maggi ni??
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neutral
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Ha bu nkpuru di ndu nke kwesiri mmeghari kwa ubochi.
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joy
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N'ime ndi-amuma ka nna-unu-hà n notsob ?ughi?
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disgust
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Ma mmadu mmadu riri oke ma o bu na anaghi eji ya nma, ihe ochi bu nke a ga-amata imezu ihe ma obu mmetuta obi ya.
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disgust
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"Olee otú ha si efe ofufe?"
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neutral
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N' obi ha kwa , ha laghachiri n' Ijipt .
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neutral
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Kako made tachi kireru ka na (dou ka na?)
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neutral
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Onyenweayi, kunye n'ime m, ihe ndi ga-eme ka m wee buru onye I kere m ka m buru, n'aha Jisos.
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neutral
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N'agbanyeghi, i mere ka o jiri obere ihe karia ndi mmuooma nta,
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disgust
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Aga m ahapu mkparita uka a rue mgbe nke a putara, i nweziri ike igwa m ma ikwere ma i kweghi.
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neutral
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N'ebe ahu ka inata oke osimiri nke Mmuo Nso, bu onye n'aru oru n'ime uwa a, na ewulite ndi kwere ekwe ma wulite ha na nrube isi ha nye Kraist.
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disgust
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Ihe nenwu n'ir'unu;
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neutral
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Eziokwu ga- esi n' ala pulite ,
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neutral
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Nka nemegide nkwukwasi nke nkpuru na ngozi nke Chineke nabia nani site na nrube isi.
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joy
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Nzaghachi m... M onwe m kwa!
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joy
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Imana nde obodo magu ifanaru
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neutral
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I nwere ikike iwepu nkwenye gi n'ebe anyi jiri data nke gi n'oge obula, ma juo ka anyi kpochapu ya.
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neutral
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Nime ndi nmadu ga anwu anwu oburu onye nwere nnukwu agugo isi.
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neutral
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Naani m ka i zoputara na ndi dabara n'onu onwu.
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neutral
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Enwere ike icheta ihe mmadu nke mmadu bu ncheta mmadu.
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neutral
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I nyere onye-ab theata-obi na ob theeye aka,
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neutral
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ewoo mee ife na emee,
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neutral
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Mgb'agbaputar'ayi na nmhehie,
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anger
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Oburu na omegh ya, ya mere ayi gamata na Chineke zitere ha nihi odi nma nke mo ayi.
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neutral
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N'ihi na n'oge gara aga anguishes e enyefe nchefu, na ha na e zoro ezo si n'anya m.
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neutral
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Man ike ime onwe ya ka onye ezi omume.
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neutral
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Enwere m nnukwu nkwanye ùgwù maka US Navy.
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disgust
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Ayi kwere Chuku, nwe onu;
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neutral
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kyou (kyou) ha nani wo si masu ka ?
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neutral
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Anyi nwere ihe omuma oma iri, ya mere, anyi aghaghi ibu ndi di uku. "
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neutral
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Breite Ala nasi
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neutral
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Mu na onye m hooro agbaala ndu,
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neutral
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O nwere ihe akaebe ozo di na akwukwo nso banyere ihe mere ha?
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neutral
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Azoputaghi gi ma obu ido ya na uche gi, echiche gi, ma obu ike gi, kama obu site na Mmuo Nso nke Chineke.
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neutral
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nwa Ukwu ego maka onye ?
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neutral
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Onye-nwe-i buru obe, we nwua,
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anger
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Ula Usagum ha bi cere adam olasun,
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anger
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Lee, oke osimiri guzo n'ihu ha.
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fear
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Skwara, Isa
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neutral
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Onye k'ora nagozi,
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neutral
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chahe ma ka rup ya bahu or ho ya beti,
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joy
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Ihe obula ochicho gi bu, mee ka o bia na ahia gi ma cheta, ndi ahia gi nwere ike igwa ezi obi site na ihe emeputara!
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disgust
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Ya mere Chineke akowasiwo ihe okike ya n'asusu nke nani ndi no dika nwatakiri gaghota.
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neutral
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Enwetakwara m "Junior High."
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disgust
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Oba Maa Asala Sitee Nam,,,,
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neutral
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anman, ot ah ka nkta b ihe ezi uche; ot ah ka gwgw ga-stof na-ezigh ezi,
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neutral
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Ma ugbu a,, ka ga-esi any? ikpeaz? ndu mmalite na ?kachamara na ?n?d? mmechi ?n? n'ime Wondershare Data Iweghachite.
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sadness
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i miss mama nnukwu
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sadness
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Amamihe Chineke na-edu m,
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neutral
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Obere oge, Charlotte nwere mgbagwoju anya.
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neutral
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na zwe vha nnyita,
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fear
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Olee ihe Chineke mere n'oge ochie?
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neutral
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Rie ya, na-eri nri na wretched ogbenye .
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disgust
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Cheta - Google malitere site na igbe ederede di mfe.
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disgust
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Ajuju: I kwuru na Ndi bu Nna-gi na Nne-gi ,nime Chineke kwetara Gi nkwa, na i gedebe Iwu Chineke nile.
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neutral
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odighi ihe nyiri gi Na omume, ikariri echiche madu ee,
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neutral
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Ha kpochiri nti, gbaa isi akwara dika nna nna ha ndi enweghi okwukwe na Yahweh Chineke ha.
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neutral
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Nka bu ihe uche nadigh ma oburu na ala eze adiwo ugbua tutu obibia nke ugbo abua ahu.
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neutral
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Na ya bu nkpughe kwa, obugh ihe nile di ya ka agewere dika ihe negosi ihe.
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disgust
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Site na mma agha nke Santiago, a ga-echebe m ruo mgbe ebighi ebi.
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neutral
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Asusu nke imu ya site nafo Meri bu kwa ihe ozo negosi na ogaragh adi ma asi na amugh ya.
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neutral
|
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Igbo Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Igbo 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: 188,596
- Joy: 14261 (7.6%)
- Sadness: 8392 (4.4%)
- Anger: 8016 (4.3%)
- Fear: 7050 (3.7%)
- Surprise: 8302 (4.4%)
- Disgust: 10579 (5.6%)
- Neutral: 131996 (70.0%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Igbo
- 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/igbo-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{igbo_emotions_corpus,
title={Igbo Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/igbo-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:
6.23 MB
Size of the auto-converted Parquet files:
6.23 MB
Number of rows:
188,596