Hugging Face's logo

Datasets:
michsethowusu
/
africa-emotions-balanced-multilang

Modalities:
Text
Formats:
csv
Size:
1M - 10M
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
Dataset Viewer
Auto-converted to Parquet
text
stringlengths
1
500
emotion
stringclasses
7 values
language
stringclasses
43 values
Thou shalt not lie;-D zaidi ya mwaka mmoja uliopita
sadness
swahili
"Ngaqala ukuphila kwami kokusebenza, okokuqala njengomthwalo we-clapper loader, ngakho-ke ngiyidayili yokugxila, bese ngine-opharetha onamafilimu avela lapha eMelbourne.
disgust
zulu
Ga se tshwanelo, monna yo o be a leka go thuša
neutral
pedi
Na izany aza, raha tsikaritrareo fa tara ny fotoana fohy amin'ny dosage manaraka, dia azonao atao ny misintona ny dosage tsy ampy ary mandeha any amin'ny manaraka.
sadness
malagasy
Ate Arsenal ya Sanchez, yaakuzannya Man City enkya ku Ssande mu Premier.
disgust
ganda
U kan praat oor hoe u gefrustreerd of kwaad of bang was terwyl die gebeure aan die afspeel was, maar u wil uiteindelik wys dat u met die geleerde les aan die ander kant kon verskyn.
anger
afrikaans
Wo Wo Wo de Krept and Konan: Napster
surprise
twi
Nanadihady ny zava-misy manodidina ny mpisera Twitter sasany, ary nanome ny heviny momba izay hahazo ny sezan'ny filoham-pirenena ifampitadiavana fatratra.
surprise
malagasy
Qorshaha Dr.Saadiq Eenow...
surprise
somali
ኢዮአብ እኔን ባሪያህንና የንጉሡን ባሪያ በላከ ጊዜ ትልቅ ሽብር አይቻለሁ፥ ምን እንደሆነ ግን አላወቅሁም ብሎ መለሰለት።
fear
amharic
Ganizirani za zotsatira Ganizirani za patsogolo
anger
chichewa
Hali imekuwa mbaya zaidi kwa sisi tunaozipenda timu vigogo.
disgust
swahili
Ku vuriwe leswaku yena i xin'wana xa switirhisiwa swa Xikwembu "emhakeni yo dyondzisa vutivi bya Xikwembu xa ntiyiso na Kreste."
surprise
tsonga
Waxaan isku dayaan in ay bixiyaan alaabta LED in shaqayn doonaa in codsi kasta oo hubaal.
neutral
somali
AungSan cu kawl miphun hrang lawngah a tha
anger
lushai
Khualchhâwn thiamna lantîr nân leh dawn theih nân hun leh tha kan nei tâwk lo a nih chuan eng nge kan tih theih?
disgust
lushai
Toe sy dit die eerste keer vir my, Ek was soos wat dit!
surprise
afrikaans
Izany no tena be mpampiasa kajy fampiharana sy ny fizarana ny Microsoft Office.
disgust
malagasy
W.I.T.C.H. mashabiki (I won't say any names) were insulting Winx mashabiki and I hated it. zaidi ya mwaka mmoja uliopita
anger
swahili
23:3 የእስራኤል አምላክ ተናገረኝ, የእስራኤል ጠንካራ አንዱ ተናገሩ, ሰዎች ገዥ, የ ብቻ ገዥ, በእግዚአብሔር ፍርሃት ውስጥ,
anger
amharic
Lammi gabanaa lammi isaa saaxiluuf safuu.
fear
oromo
11ቃሉ የታመነ ነው እንዲህ የሚለው።
anger
amharic
Lodos waa la xayiray Jimcaha iyo Sabtida sababta oo ah adeegga gawaarida fiilada lama qaban karo maanta.
sadness
somali
kubela maladi ya sukadi, nitu kukuka diaka ve kutina maladi, yo ke kumisaka maladi mingi, yo ke kumisaka muntu mawa-mawa mpi yo ke kitisaka kilo ya nitu
disgust
kongo
Julle het 'n kompromie aangegaan met satan.
disgust
afrikaans
Watu waliookolewa katika ajali ya Meli
sadness
swahili
na wɔrentumi mfa deɛ wopɛ biara ntoto ho.
joy
twi
ዘካርያስ በኢየሩሳሌም በሚገኘው የአምላክ ቤተ መቅደስ ውስጥ በክህነት የሚያገለግልበት ተራ ደርሷል።
fear
amharic
jis jeevan mein aa gale lag jaa full song
fear
oromo
Aliwesi abaghiye ukusala mwene ukwivwila ilamulo ilya Chala pa nkani iya ibanda.
sadness
bemba
Nee Ukku Laanti Onti Theeru Greeky Shilpame
joy
oromo
እሷ በጣም ሐቀኛ ስለሆነች ሁል ጊዜ ወደ አማንዳ እመለሳለሁ ።
joy
amharic
Adura ti eeyan maa nse ti eyan ba ni ipaya kan ni oju orun abi eniti won bafi adanwo ipa aayun se
anger
yoruba
"Ryan en sy familie het hul waardering uitgespreek vir die boodskappe van beterskap en mense se besorgdheid van oor die hele land heen.
fear
afrikaans
Casanis a yafe awalc'h ganin.
neutral
hausa
"Haba the juiciest one ina zaki....zo ki fadamin how am I in bed..."Yafada yana wullata kan gado
sadness
hausa
Cindy Crawford sere serpe - Magazin - Mahmure Foto Galeri
neutral
igbo
Au mlikuwa muntiya asumini na
neutral
swahili
Mbandu ni jingivuidi, ia lungu ni "Ifika ia Bhebhuluka."
anger
kimbundu
ooo je veux vivrree en malaiisiie xD
fear
wolof
Na, licha ya mengine mengi, kila siku nakabiliwa na shughuli za makanisa yote.
fear
swahili
"Ita kenan ba Dan abinda Tai min Kai Mata haka ba ko?"
fear
hausa
Hiki ni kilio kikubwa kwa wananchi wanaopisha ujenzi wa mradi huu.
disgust
swahili
voordat dit was getrek uit die agenda in maart die ahca onder ander dinge gesoek te vervang obamacare s netwerk van versekering premium subsidies met 'n beduidende expansion in die gebruik van belasting krediete en gesondheid spaar rekeninge
neutral
afrikaans
Shy, mbona hujibu?
anger
swahili
Ova pewa "omhepo" nova teelela 'okutambulwa moudalwa womalutu avo opambelela.'
disgust
umbundu
Hoe't jy geweet, hmm?
surprise
afrikaans
kid buu eza weakness
fear
ganda
Maye Amento
disgust
yoruba
Hello! afeekkk interesting afeekkk site!
joy
wolof
kya tum mudogi kabhi,
fear
kimbundu
Saropady ny volamena amintsika Malagasy, ka tsy azo vazivaziana
neutral
malagasy
Ary na inona na inona no hitranga dia tsy hisy intsony ny "premier tour dia vita."
sadness
malagasy
enwiki Lõpemetsa
anger
tswana
lala leche lala jugo lala café
disgust
swati
Newcastle Go Karts Go
surprise
tswana
Cavità Interne o Esterne
joy
yoruba
Hujui nini kinachozungumziwa.
surprise
swahili
ary ny zava-misy iainanao.
sadness
malagasy
Bango bien dix sur dix bango ba koka na tout kasi masolo nyoso ya mokili kaka se ya Mopao ehh toujours
neutral
lingala
vhatshinyi a vha nga dzheni khuvhanganoni ya vhavhuya.
disgust
tsonga
Tianay ny hahita ny indostria misy antsika mamirapiratra toy ny manga, maitso ary fotsy izay maneho ny hatsaran'ny firenena.
sadness
malagasy
Iyo deriska kala yaacayeen; dib isu raadcaynin
disgust
somali
Ummeli Wokuhlwaya (iSpanish)
surprise
xhosa
Sihlale le eParadisi,
joy
xhosa
N'cyetu benë be n'kwambililë: " Eeh, ya cisilikilë ci libakëlë, n'tininë kwa singasi osi e! " (minaanu matë)
joy
dinka
ገንዘቡ ቀበሩን ለማስፈጸም እያቃተው ነው ።
anger
amharic
Ek was verbaas om oplossing te vind vir al die probleme in een instrument.
surprise
afrikaans
Side ayad ado habeno dhan so jeeda wax u dhigan karta Malinti?
surprise
somali
Na wale wanene walio kwenye ndoa wameingiaje sasa?
neutral
swahili
"Aaaiiii, Aaaiiii" seklinde yapiyordu ki, beni en cok
fear
fulah
aaf unlogged
fear
oromo
Innteakte puak khat po na nei le pia paih in.
disgust
lushai
Ananse ufunile inhlakanipho ka umhlaba.
sadness
swati
Ko e nder maggal Duunde Jeeriyel ndee woni.
disgust
fulah
Mimi najua iliko asali iliyo nzuri.
neutral
swahili
Ny harena, hita avy any ambony
surprise
malagasy
Dil ko haay dil ko (Daastaan)
sadness
wolof
Ary any amin'ireo nofy lavitra
fear
malagasy
Lawyer Wanza Kivindu
sadness
swahili
ከጫጩቱ ውስጥ የሚወጣውን ፈሳሽ አፍጥጠው ይጥሉት, እንደከፊቱ ያደርጉታል.
neutral
amharic
moku: "pipi mute o! mi wile moku!"
anger
umbundu
Na Salamu Allah Juu Ya Wote Ma Anssar Walio Tangulia Walio Bora Na Juu Ya Waislamu Wote, Hakika Mola Mlezi wangu Ni Mpana Wa Huruma Na Maghfira, Hakika Mola Mlezi Wangu Ni Ghafur Mrahimu..
joy
swahili
tzhost inakupa yote hayo pamoja na haya yafuatayo....
neutral
swahili
በዚህ ዓመት የተዘራው አከባቢ 200 ሺህ ሄክታር ነው ።
sadness
amharic
Hadaba sida loo isticmaalo shabakadan cusub hoos kadaawo. Mahadsanid
neutral
somali
Jana tumak paboloi
fear
tswana
ለአራት ቀን ከተያዙት ልጆች ጋር መገናኘት አልቻልኩም።
fear
amharic
n'ai-je pas aboyé ?
surprise
lingala
V መረጃ ነው .
neutral
amharic
Nadi, layizgo lakuti caru cizamuŵa paradiso likanovwira kuti nisinthe umoyo wane.
anger
tumbuka
Gara fuula duraa tarkaanachuu dhiisanii bitaa of irraa galagalanii gara boodaa deemaa jiru.
sadness
oromo
A Bit About Emmy
neutral
twi
እስከዚያው ግን ከፋይ የሚዘራው ያጣው ገበሬ ነው።
fear
amharic
Afisin'ny atrikasa.
neutral
malagasy
Leo's is die tipe mense wat hul hare in 'n mal nuwe styl kan dra (net omdat hulle wil!), En binne weke het dit die nuwe neiging geword.
surprise
afrikaans
ኣንድ single የአምራቾች የህብረት ሥራ ማህበር አለ ወይ ትግሬ ውስጥ?
joy
amharic
Look: Magelo Black
neutral
tswana
የፒሪ ሬይስ ካርታ በአሁኑ ጊዜ በቱርክ ኢስታንቡል ውስጥ ባለው Topkapi ቤተመፃሕፍት ውስጥ ይገኛል ፣ ግን በአሁኑ ጊዜ በእይታ ላይ አይደለም።
neutral
amharic
mosansimobi kukusxs
neutral
lingala
End of preview. Expand in Data Studio

Multilingual Emotion Analysis Corpus

Dataset Description

This dataset contains emotion-labeled text data in multiple African languages for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were inferred from the original content using a multilingual processing pipeline and balanced per language to support fairer modeling.

The dataset is part of a growing collection of African language emotion analysis resources.

Dataset Statistics

Language: afrikaans Total samples: 511287

  • Anger: 73041 (14.3%)
  • Disgust: 73041 (14.3%)
  • Fear: 73041 (14.3%)
  • Joy: 73041 (14.3%)
  • Neutral: 73041 (14.3%)
  • Sadness: 73041 (14.3%)
  • Surprise: 73041 (14.3%) Language: akan Total samples: 1694
  • Anger: 242 (14.3%)
  • Disgust: 242 (14.3%)
  • Fear: 242 (14.3%)
  • Joy: 242 (14.3%)
  • Neutral: 242 (14.3%)
  • Sadness: 242 (14.3%)
  • Surprise: 242 (14.3%) Language: amharic Total samples: 568750
  • Anger: 81250 (14.3%)
  • Disgust: 81250 (14.3%)
  • Fear: 81250 (14.3%)
  • Joy: 81250 (14.3%)
  • Neutral: 81250 (14.3%)
  • Sadness: 81250 (14.3%)
  • Surprise: 81250 (14.3%) Language: bambara Total samples: 15309
  • Anger: 2187 (14.3%)
  • Disgust: 2187 (14.3%)
  • Fear: 2187 (14.3%)
  • Joy: 2187 (14.3%)
  • Neutral: 2187 (14.3%)
  • Sadness: 2187 (14.3%)
  • Surprise: 2187 (14.3%) Language: bemba Total samples: 47985
  • Anger: 6855 (14.3%)
  • Disgust: 6855 (14.3%)
  • Fear: 6855 (14.3%)
  • Joy: 6855 (14.3%)
  • Neutral: 6855 (14.3%)
  • Sadness: 6855 (14.3%)
  • Surprise: 6855 (14.3%) Language: chichewa Total samples: 222166
  • Anger: 31738 (14.3%)
  • Disgust: 31738 (14.3%)
  • Fear: 31738 (14.3%)
  • Joy: 31738 (14.3%)
  • Neutral: 31738 (14.3%)
  • Sadness: 31738 (14.3%)
  • Surprise: 31738 (14.3%) Language: dinka Total samples: 9611
  • Anger: 1373 (14.3%)
  • Disgust: 1373 (14.3%)
  • Fear: 1373 (14.3%)
  • Joy: 1373 (14.3%)
  • Neutral: 1373 (14.3%)
  • Sadness: 1373 (14.3%)
  • Surprise: 1373 (14.3%) Language: dyula Total samples: 13874
  • Anger: 1982 (14.3%)
  • Disgust: 1982 (14.3%)
  • Fear: 1982 (14.3%)
  • Joy: 1982 (14.3%)
  • Neutral: 1982 (14.3%)
  • Sadness: 1982 (14.3%)
  • Surprise: 1982 (14.3%) Language: ewe Total samples: 116326
  • Anger: 16618 (14.3%)
  • Disgust: 16618 (14.3%)
  • Fear: 16618 (14.3%)
  • Joy: 16618 (14.3%)
  • Neutral: 16618 (14.3%)
  • Sadness: 16618 (14.3%)
  • Surprise: 16618 (14.3%) Language: fon Total samples: 14035
  • Anger: 2005 (14.3%)
  • Disgust: 2005 (14.3%)
  • Fear: 2005 (14.3%)
  • Joy: 2005 (14.3%)
  • Neutral: 2005 (14.3%)
  • Sadness: 2005 (14.3%)
  • Surprise: 2005 (14.3%) Language: fulah Total samples: 17955
  • Anger: 2565 (14.3%)
  • Disgust: 2565 (14.3%)
  • Fear: 2565 (14.3%)
  • Joy: 2565 (14.3%)
  • Neutral: 2565 (14.3%)
  • Sadness: 2565 (14.3%)
  • Surprise: 2565 (14.3%) Language: ganda Total samples: 227689
  • Anger: 32527 (14.3%)
  • Disgust: 32527 (14.3%)
  • Fear: 32527 (14.3%)
  • Joy: 32527 (14.3%)
  • Neutral: 32527 (14.3%)
  • Sadness: 32527 (14.3%)
  • Surprise: 32527 (14.3%) Language: hausa Total samples: 207732
  • Anger: 29676 (14.3%)
  • Disgust: 29676 (14.3%)
  • Fear: 29676 (14.3%)
  • Joy: 29676 (14.3%)
  • Neutral: 29676 (14.3%)
  • Sadness: 29676 (14.3%)
  • Surprise: 29676 (14.3%) Language: igbo Total samples: 49350
  • Anger: 7050 (14.3%)
  • Disgust: 7050 (14.3%)
  • Fear: 7050 (14.3%)
  • Joy: 7050 (14.3%)
  • Neutral: 7050 (14.3%)
  • Sadness: 7050 (14.3%)
  • Surprise: 7050 (14.3%) Language: kabiye Total samples: 5411
  • Anger: 773 (14.3%)
  • Disgust: 773 (14.3%)
  • Fear: 773 (14.3%)
  • Joy: 773 (14.3%)
  • Neutral: 773 (14.3%)
  • Sadness: 773 (14.3%)
  • Surprise: 773 (14.3%) Language: kabuverdianu Total samples: 30072
  • Anger: 4296 (14.3%)
  • Disgust: 4296 (14.3%)
  • Fear: 4296 (14.3%)
  • Joy: 4296 (14.3%)
  • Neutral: 4296 (14.3%)
  • Sadness: 4296 (14.3%)
  • Surprise: 4296 (14.3%) Language: kabyle Total samples: 1575
  • Anger: 225 (14.3%)
  • Disgust: 225 (14.3%)
  • Fear: 225 (14.3%)
  • Joy: 225 (14.3%)
  • Neutral: 225 (14.3%)
  • Sadness: 225 (14.3%)
  • Surprise: 225 (14.3%) Language: kamba Total samples: 8407
  • Anger: 1201 (14.3%)
  • Disgust: 1201 (14.3%)
  • Fear: 1201 (14.3%)
  • Joy: 1201 (14.3%)
  • Neutral: 1201 (14.3%)
  • Sadness: 1201 (14.3%)
  • Surprise: 1201 (14.3%) Language: kikuyu Total samples: 13160
  • Anger: 1880 (14.3%)
  • Disgust: 1880 (14.3%)
  • Fear: 1880 (14.3%)
  • Joy: 1880 (14.3%)
  • Neutral: 1880 (14.3%)
  • Sadness: 1880 (14.3%)
  • Surprise: 1880 (14.3%) Language: kimbundu Total samples: 20034
  • Anger: 2862 (14.3%)
  • Disgust: 2862 (14.3%)
  • Fear: 2862 (14.3%)
  • Joy: 2862 (14.3%)
  • Neutral: 2862 (14.3%)
  • Sadness: 2862 (14.3%)
  • Surprise: 2862 (14.3%) Language: kongo Total samples: 47894
  • Anger: 6842 (14.3%)
  • Disgust: 6842 (14.3%)
  • Fear: 6842 (14.3%)
  • Joy: 6842 (14.3%)
  • Neutral: 6842 (14.3%)
  • Sadness: 6842 (14.3%)
  • Surprise: 6842 (14.3%) Language: lingala Total samples: 132671
  • Anger: 18953 (14.3%)
  • Disgust: 18953 (14.3%)
  • Fear: 18953 (14.3%)
  • Joy: 18953 (14.3%)
  • Neutral: 18953 (14.3%)
  • Sadness: 18953 (14.3%)
  • Surprise: 18953 (14.3%) Language: lushai Total samples: 152495
  • Anger: 21785 (14.3%)
  • Disgust: 21785 (14.3%)
  • Fear: 21785 (14.3%)
  • Joy: 21785 (14.3%)
  • Neutral: 21785 (14.3%)
  • Sadness: 21785 (14.3%)
  • Surprise: 21785 (14.3%) Language: malagasy Total samples: 388367
  • Anger: 55481 (14.3%)
  • Disgust: 55481 (14.3%)
  • Fear: 55481 (14.3%)
  • Joy: 55481 (14.3%)
  • Neutral: 55481 (14.3%)
  • Sadness: 55481 (14.3%)
  • Surprise: 55481 (14.3%) Language: mossi Total samples: 38787
  • Anger: 5541 (14.3%)
  • Disgust: 5541 (14.3%)
  • Fear: 5541 (14.3%)
  • Joy: 5541 (14.3%)
  • Neutral: 5541 (14.3%)
  • Sadness: 5541 (14.3%)
  • Surprise: 5541 (14.3%) Language: nuer Total samples: 2415
  • Anger: 345 (14.3%)
  • Disgust: 345 (14.3%)
  • Fear: 345 (14.3%)
  • Joy: 345 (14.3%)
  • Neutral: 345 (14.3%)
  • Sadness: 345 (14.3%)
  • Surprise: 345 (14.3%) Language: oromo Total samples: 242879
  • Anger: 34697 (14.3%)
  • Disgust: 34697 (14.3%)
  • Fear: 34697 (14.3%)
  • Joy: 34697 (14.3%)
  • Neutral: 34697 (14.3%)
  • Sadness: 34697 (14.3%)
  • Surprise: 34697 (14.3%) Language: pedi Total samples: 115255
  • Anger: 16465 (14.3%)
  • Disgust: 16465 (14.3%)
  • Fear: 16465 (14.3%)
  • Joy: 16465 (14.3%)
  • Neutral: 16465 (14.3%)
  • Sadness: 16465 (14.3%)
  • Surprise: 16465 (14.3%) Language: rundi Total samples: 125419
  • Anger: 17917 (14.3%)
  • Disgust: 17917 (14.3%)
  • Fear: 17917 (14.3%)
  • Joy: 17917 (14.3%)
  • Neutral: 17917 (14.3%)
  • Sadness: 17917 (14.3%)
  • Surprise: 17917 (14.3%) Language: sango Total samples: 33467
  • Anger: 4781 (14.3%)
  • Disgust: 4781 (14.3%)
  • Fear: 4781 (14.3%)
  • Joy: 4781 (14.3%)
  • Neutral: 4781 (14.3%)
  • Sadness: 4781 (14.3%)
  • Surprise: 4781 (14.3%) Language: somali Total samples: 670327
  • Anger: 95761 (14.3%)
  • Disgust: 95761 (14.3%)
  • Fear: 95761 (14.3%)
  • Joy: 95761 (14.3%)
  • Neutral: 95761 (14.3%)
  • Sadness: 95761 (14.3%)
  • Surprise: 95761 (14.3%) Language: swahili Total samples: 626913
  • Anger: 89559 (14.3%)
  • Disgust: 89559 (14.3%)
  • Fear: 89559 (14.3%)
  • Joy: 89559 (14.3%)
  • Neutral: 89559 (14.3%)
  • Sadness: 89559 (14.3%)
  • Surprise: 89559 (14.3%) Language: swati Total samples: 30198
  • Anger: 4314 (14.3%)
  • Disgust: 4314 (14.3%)
  • Fear: 4314 (14.3%)
  • Joy: 4314 (14.3%)
  • Neutral: 4314 (14.3%)
  • Sadness: 4314 (14.3%)
  • Surprise: 4314 (14.3%) Language: tamasheq Total samples: 119
  • Anger: 17 (14.3%)
  • Disgust: 17 (14.3%)
  • Fear: 17 (14.3%)
  • Joy: 17 (14.3%)
  • Neutral: 17 (14.3%)
  • Sadness: 17 (14.3%)
  • Surprise: 17 (14.3%) Language: tsonga Total samples: 84728
  • Anger: 12104 (14.3%)
  • Disgust: 12104 (14.3%)
  • Fear: 12104 (14.3%)
  • Joy: 12104 (14.3%)
  • Neutral: 12104 (14.3%)
  • Sadness: 12104 (14.3%)
  • Surprise: 12104 (14.3%) Language: tswana Total samples: 271264
  • Anger: 38752 (14.3%)
  • Disgust: 38752 (14.3%)
  • Fear: 38752 (14.3%)
  • Joy: 38752 (14.3%)
  • Neutral: 38752 (14.3%)
  • Sadness: 38752 (14.3%)
  • Surprise: 38752 (14.3%) Language: tumbuka Total samples: 64869
  • Anger: 9267 (14.3%)
  • Disgust: 9267 (14.3%)
  • Fear: 9267 (14.3%)
  • Joy: 9267 (14.3%)
  • Neutral: 9267 (14.3%)
  • Sadness: 9267 (14.3%)
  • Surprise: 9267 (14.3%) Language: twi Total samples: 140917
  • Anger: 20131 (14.3%)
  • Disgust: 20131 (14.3%)
  • Fear: 20131 (14.3%)
  • Joy: 20131 (14.3%)
  • Neutral: 20131 (14.3%)
  • Sadness: 20131 (14.3%)
  • Surprise: 20131 (14.3%) Language: umbundu Total samples: 27608
  • Anger: 3944 (14.3%)
  • Disgust: 3944 (14.3%)
  • Fear: 3944 (14.3%)
  • Joy: 3944 (14.3%)
  • Neutral: 3944 (14.3%)
  • Sadness: 3944 (14.3%)
  • Surprise: 3944 (14.3%) Language: wolof Total samples: 92820
  • Anger: 13260 (14.3%)
  • Disgust: 13260 (14.3%)
  • Fear: 13260 (14.3%)
  • Joy: 13260 (14.3%)
  • Neutral: 13260 (14.3%)
  • Sadness: 13260 (14.3%)
  • Surprise: 13260 (14.3%) Language: xhosa Total samples: 536837
  • Anger: 76691 (14.3%)
  • Disgust: 76691 (14.3%)
  • Fear: 76691 (14.3%)
  • Joy: 76691 (14.3%)
  • Neutral: 76691 (14.3%)
  • Sadness: 76691 (14.3%)
  • Surprise: 76691 (14.3%) Language: yoruba Total samples: 55223
  • Anger: 7889 (14.3%)
  • Disgust: 7889 (14.3%)
  • Fear: 7889 (14.3%)
  • Joy: 7889 (14.3%)
  • Neutral: 7889 (14.3%)
  • Sadness: 7889 (14.3%)
  • Surprise: 7889 (14.3%) Language: zulu Total samples: 59990
  • Anger: 8570 (14.3%)
  • Disgust: 8570 (14.3%)
  • Fear: 8570 (14.3%)
  • Joy: 8570 (14.3%)
  • Neutral: 8570 (14.3%)
  • Sadness: 8570 (14.3%)
  • Surprise: 8570 (14.3%)

Dataset Structure

Data Fields

  • text: Original text
  • emotion: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)
  • language: Language code (e.g., twi, am, sw, etc.)

Data Splits

This dataset contains a single split with all the balanced data.

Data Processing

  • Label Generation: Used existing datasets and automatic labeling pipelines.
  • Balancing: Emotion classes were trimmed to match the smallest class per language.
  • Deduplication: Removed duplicate texts.
  • Language Coverage: Includes multiple African languages, including those using non-Latin scripts.

Usage 

from datasets import load_dataset

dataset = load_dataset("michsethowusu/africa-emotions-balanced-multilang")
print(dataset['train'][0])

Citation

If you use this dataset in your research, please cite:

@dataset{emotion_multilang_africa,
  title={Multilingual African Emotion Corpus},
  author={Your Name},
  year={2025},
  url={https://huggingface.co/datasets/michsethowusu/africa-emotions-balanced-multilang}
}

License

This dataset is released under the MIT License.

Contact

For questions or issues, please open an issue on the dataset repository.

Dataset Creation

  • Date: 2025-07-06
  • Processing Pipeline: Automated language + emotion balancing
  • Tools: Hugging Face Transformers + Pandas
  • Quality Control: Deduplication and emotion balancing
Downloads last month
116
Size of downloaded dataset files:
488 MB
Size of the auto-converted Parquet files:
375 MB
Number of rows:
6,043,884

Collection including michsethowusu/africa-emotions-balanced-multilang