Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
•
45 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Swati
Size:
10K - 100K
License:
Swati
stringlengths 9
475
| emotion
stringclasses 7
values |
|---|---|
Batsi: "Nkhosi, tinceku takho tingemadvodzana lalishumi namabili andvodza yinye, eveni laseKhenani.
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disgust
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phelele Nkulunkulu; nanso cha is Nkulunkulu He Almighty Hlakaniphile.
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neutral
|
is khona biyela disbelievers buhlungu retribution?
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neutral
|
Tinjinga netimphuya tifanana ngantfo yinye: Bobabili badalwa nguNkulunkulu.
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neutral
|
Wamenta kutsi abe mncane kunetingilosi,
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sadness
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Ngemuva kwaloko wababuta watsi: "Nine anikabaluleki yini kwendlula tona?"
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fear
|
Lonkulunkulu loyawuphendvula ngemlilo, nguyena anguNkulunkulu sibili."
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neutral
|
Ngako-ke ngitjeleni liphupho, ngitawube sengiyati-ke kutsi ningangichazela lona."
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neutral
|
'Njengemshumayeli wekulunga,'Nowa wawumemetela ngekwetsembeka lomlayeto losecwayiso lebekaphatsiswe wona.
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disgust
|
Beyiyini injongo yaNkulunkulu yasekucaleni ngemhlaba nangebantfu?
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neutral
|
'Njengemshumayeli wekulunga,' Nowa wawumemetela ngekwetsembeka lomlayeto losecwayiso lebekaphatsiswe wona.
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disgust
|
Ungabuti utsi: "Kwabangelwa yini kutsi tinsuku takadzeni tibe ncono kunaleti tetfu?"
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surprise
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accordance nga Nkulunkulu vulamehlo are disbelievers.
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neutral
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Ningesabi muntfu, ngobe kwehlulela kwaNkulunkulu.
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fear
|
Utsi-ke nangabe nine nimcolela nhlawumbe naseZulwini uyawucolelwa.
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neutral
|
Bayawufikelwa kwesaba lokukhulu, ngobe Nkulunkulu ume nalabacotfo.
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fear
|
Loku kuvuka ekufeni kwekucala.
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neutral
|
Lona bekaligibele abebitwa ngekutsi nguLotsembekile naLiciniso; umsulwa ekwehluleleni kwakhe nasekulweni kwakhe.
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neutral
|
Nowa abeyindvodza lelungile.
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disgust
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bamshiyile Nkulunkulu sibili lophatsana ngemusa.
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sadness
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Nitsi: "Asidle, sinatse, ngobe kusasa sitakufa!"
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neutral
|
Amemeta Loti atsi: "Aphi lamadvodza langenise lapha kakho kuyo lentsambama?
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neutral
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Nguye uMdali weliBhele, neweMtsentse,
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neutral
|
Ngabangisana lomunye impahla yakhe na?
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neutral
|
kuti): "Tatipungulirani madzi
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neutral
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Ngubani nje longaphenya kwehlulela kwakhe ahlolisise imfihlakalo yetindlela takhe?
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surprise
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Bakhala kuwe, wabasindzisa;
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joy
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Laba labanye lababefile abazange bavuke ekufeni, kwadzimate kwaphela iminyaka leyinkhulungwane.
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neutral
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Ngako watsi: "Yebo, kona lamadvodza efikile lapha kami, kodvwa angikawati kutsi abephumaphi.
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surprise
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Nkulunkulu umbuyisela esimeni sakhe sekulunga.
|
joy
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Nobe kunjalo, labanye bangatsi: 'Jesu abenetimo letimbili.
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neutral
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Tiyakwemukela sijeziso lesikhulu."
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disgust
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Lesetsembiso salabo labakwesabako.
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neutral
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Kute namunye walababi loyawukuvisisa, kodvwa laba labahlakaniphile bayawukuvisisa kahle.
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disgust
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Lendvodzana yatsi kuyise: 'Babe, ngonile kuNkulunkulu nakuwe, angisafanele nekutsi ngibitwe ngekutsi ngiyindvodzana yakho.'
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disgust
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Hamba uye kubaphrofethi beyihlo nakubaphrofethi benyoko uyewubuta kubo."
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neutral
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lokwatiwa nguLosetikwako Konkhe?"
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neutral
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Ngiyawukunika bona njengemadvodzakati, noko, hhayi njengekutsi ngente nawe sivumelwane.
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neutral
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nami-ke sengiyawumelana nani ngekunivisa buhlungu ngalokuphindvwe kasikhombisa ngenca yetono tenu.
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neutral
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yamphendvula yatsi: 'Kodvwa, babe, mine yonkhe leminyaka bengihleti nawe ngikusebentela.
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neutral
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Bona, ngibekile phambi kwakho lamuhla impilo lokulunga, lokufa lobubi.
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neutral
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Ngako-ke ungabi nemahloni ngekufakaza ngeNkhosi yetfu.
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disgust
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Kuncusa kwemuntfu lolungile kunemandla kakhulu.
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neutral
|
Watsi kubo: "Simakadze Nkulunkulu wenu akekho ngakini yini?
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disgust
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Kute bumnyama lobumnyama kuye,
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neutral
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Ngamkhumbuta kutsi besengiphila imphilo lehambisana netimiso teliBhayibheli.
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neutral
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Ngingumfokazi emhlabeni; ungangifihleli imiyalo yakho.
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fear
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labalungile bayawububona buso bakhe.
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neutral
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Nani senibantfwana bakhe, yingci nje nanichubeka nenta lokuhle, futsi ningancotjwa kwesaba.
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fear
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Imvu yakho iyawuphiwa sitsa sakho, kute naloyakukusindzisa.
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sadness
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Nalle Puh lelulaat..
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neutral
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Usathandaza katsatfu ngelilanga."
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neutral
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Kungani NgiMelana NeNkholo Lehleliwe
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anger
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Watsi: "Babe, nangabe utsandza, yendlulise lendzebe kimi.
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anger
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Ngako-ke memukeleni eNkhosini ngekutfokota konkhe; labanjalo-ke nibobatisa.
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neutral
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Nkulunkulu wabacosha ekhaya labo leliliPharadisi.
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neutral
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bayawutfomeka, banganyakati nakancane;
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neutral
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Wayiphendvula watsi: "Mine ngingumfelokati, indvodza yami ifile.
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sadness
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Sikholwa kutsi tsine nabo sisindziswa ngalokufananako ngemusa weNkhosi yetfu Jesu."
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neutral
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iyawubona situkulwane sayo,
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neutral
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Manje-ke nayi inkhosi yenu lenitikhetsele yona, lena lenaniyifuna.
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neutral
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babhudze kuphela,
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neutral
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ubabonile lababiya ngetinkhomo,
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disgust
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Anginandzaba nekutsi yinhle kangakanani.
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disgust
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Cha, yena ungilayile-ke lomuntfu."
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disgust
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icinise tonkhe tinqaba tayo letiphakeme,
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neutral
|
Ngetsembele kuNkulunkulu, angesabi lutfo.
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fear
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Umphumela waloko waba kutsi labangani labane besebangasakhoni kucitsa sikhatsi ndzawonye ngendlela labebangatsandza ngayo.
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sadness
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Ayamangala kutsi anisahambisani ngani nawo kulomsindvo wekutiphatsa kabi, ayanetfuka.
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surprise
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Waze watsi: "Kepha ngikhuluma loko, njengobe ngifundziswe nguBabe."
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neutral
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bacala emanga kuye ngetilwimi tabo,
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disgust
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Angitsi bodzadzewabo balapha emkhatsini wetfu?"
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neutral
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Emaliya Abeyasekera.
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neutral
|
nayi subha laya hai naya Promise, naya Promise lay...
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joy
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Emvakwaloko sewuyawukhotsa uyabuya emtsebulweni.
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neutral
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Ngibone intfo leyesabekako endlini yaka-Israyeli:
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disgust
|
"Ngobe sati incenye, siprofeta incenye.
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neutral
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Busuku sebuvele bufikile, kantsi likhaya lami lisesekhashane kakhulu."
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fear
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nekufa ngeke kutigambute tibongo takho;
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sadness
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uyibhubhisile indzawo yakhe yekuhlangana.
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anger
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Konkhe leniyakucela ngekukhuleka nikholwa, niyakukwemukeliswa."
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neutral
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bumnyama sebungumngani wami.
|
sadness
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Nibosuka lapho nicondze eHamathi lenkhulu,
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neutral
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Kana bakazusiwa mwa buloko bobali kubona bo?
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neutral
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Nyalo-ke sekufuneka nine nimcolele nibuye nimkhutsate, ningamyekeleli etinhlungwini adzimate aphele.
|
sadness
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akukwendluli ngalutfo kukhunjulwa kwesilima,
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joy
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Batsi bekutaba lihlazo kube bekute bantfwana baboFakazi esikolweni sabo.
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disgust
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Uyakwati kubavikela kunome yini lengenta kukholwa kwabo nelitsemba labo lekuphila phakadze libe sengotini.
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neutral
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kantsi ngisho netingilosi, letinkhulu kakhulu kunabo ngebuchawe nangemandla, atibahlambalati labo bantfu ngekubamangalela embikweNkhosi.
|
disgust
|
Yonkhe uyente ngekuhlakanipha;
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neutral
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Ngitsandza kusicitsa sikhatsi sami eSwatini ngaphandle ngoba lesizatfu.
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joy
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Tabuta tatsi: "Nidlelani nebatselisi kanye netoni nibuye ninatse nato?"
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anger
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wakha lolungile,
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joy
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Bayawuphendvukela kuSimakadze, naye uyawukuva kuncusa kwabo, bese uyabaphilisa.
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neutral
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Ngingumlindzi wemnaketfu yini mine?"
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neutral
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Sikhumbula kufa kwakhe ngobe wayala balandzeli bakhe watsi: "Chubekani nikwenta, ningikhumbula."
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neutral
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Hlabani lihele leMkhosi,
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neutral
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Babulala baphrofethi bakho labebabayala kutsi babuyele kuwe; benta tinhlamba letesabeka kabi kakhulu.
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disgust
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C kulomnyakalishumi lotako.
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neutral
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"Ngaleso sikhatsi ngiyakubulala emahhashi akho,
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anger
|
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in Data Studio
Swati Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Swati 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: 96,003
- Joy: 9641 (10.0%)
- Sadness: 6485 (6.8%)
- Anger: 5455 (5.7%)
- Fear: 4314 (4.5%)
- Surprise: 4901 (5.1%)
- Disgust: 7624 (7.9%)
- Neutral: 57583 (60.0%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Swati
- 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/swati-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{swati_emotions_corpus,
title={Swati Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/swati-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:
3.86 MB
Size of the auto-converted Parquet files:
3.86 MB
Number of rows:
96,003