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:
Kamba (Kenya)
Size:
10K - 100K
License:
Dataset Viewer
Kamba
stringlengths 10
354
| emotion
stringclasses 7
values |
|---|---|
Na wo wapas lauti.
|
disgust
|
Athu Illaatha Samai Mey Kaam Aayaega
|
disgust
|
Unthesye Mwiai kuma nai syakwa,
|
fear
|
seema:-acha batao kya hua.
|
neutral
|
Moota xeeni wiipa isipo sa Omwene okhanle aya oonikhaliherya okathi wa mixankiho mweekumini mwahu?
|
anger
|
Ke uhai lā ka wai,
|
neutral
|
Nundu neteelete onakwa nikwone we,
|
neutral
|
(Sop) Ii niw'o tata na mwaitu mwindavye nikie nesa
|
anger
|
Woopola onaakhaviherya hai achu yaawo akhwile?
|
neutral
|
Aapo weye.
|
joy
|
Ni usagi wo ou mono wa
|
neutral
|
Nooneleke sai waamini wahu?
|
neutral
|
Yɛnŋɛlɛ na wi woro na yaan li mbe ya mboo ndanla mɛlɛ?
|
neutral
|
na m'aan ndaatioo.
|
neutral
|
Ambatw'a iulu masyaitye; na ithweo yamwosa auma methoni moo.
|
sadness
|
Kai , make asuu stop na !
|
anger
|
kal maanhe liyo bhalaai;
|
disgust
|
tere liye kya kya na kia humne,
|
joy
|
Koi maane ya na maane,
|
neutral
|
Aaney wala hai vohi, aaney wala hai wohi.
|
neutral
|
(Klisto); na kwondu wake kusyiw'anithya syindu syonthe nake mwene, aetete muuo
|
neutral
|
Uw'o, nikana ethiwa muthya waku ni MWAKINI, kitindo kyaku yu kikeethiawa kya SATANI mwene.
|
disgust
|
hula na wakwao.
|
neutral
|
Uthaithawa ata
|
neutral
|
Kimi wo anasanai yo
|
neutral
|
Na eili-ailya ndite,
|
neutral
|
na chain aaya, na maut aayi, na khwab aaya !"
|
neutral
|
kya kya humain yaad aaya,
|
neutral
|
Sa ma worry tunaweka low,
|
sadness
|
Mbela ope na vamwe tava ka nyumukila omwenyo womeulu?
|
neutral
|
(Alto) Ii niw'o tata na mwaitu mwindavye nikie nesa
|
neutral
|
eetawada watenawa kawe maduwa mataa,,,
|
neutral
|
Etthu xeeni Omwene epanke awe voohimya sa nsina na Muluku?
|
anger
|
waambie tena waambie waambilike.
|
anger
|
uwa yo sa ankpye kakami wa."
|
anger
|
na chaandi na sonaa
|
neutral
|
Matuku moso twakamakwona,
|
neutral
|
pe tye ŋat mo ma twero mako ciŋe,
|
anger
|
Yu ou niw'o andu ma ndua masenzasya maisya moo ene
|
anger
|
Ve kindu kingi waiikia kitonya kwithiwa wikwatyo waku ta ndeto ya Ngai kwoondu wa ivinda yaku yila yukite?
|
neutral
|
Unthyuukie nyie kwa tei waku,
|
neutral
|
Na wo aa sake na hum kabhi jaa sake,
|
neutral
|
maana yo ana maasho ila khanoona,
|
sadness
|
E like na manao me Kaiaiki,
|
fear
|
Indi ala makiaa, na ala matetikilaa, na ala mathatasya, na
|
fear
|
Na ndilekya Aisilaeli mathi.'
|
anger
|
Boo piny ma tin yelo anyaka ya aaa,
|
neutral
|
maana mie hainisumbui
|
disgust
|
kwi kwi kwi kwi, sijui watajificha wapi mwaka huu.
|
neutral
|
kya tha kya hu,
|
neutral
|
" Ina maana anakufata?
|
surprise
|
nen, cwinya tye ka poto liliŋ malit,
|
sadness
|
Tu pakwe Afesya ke?
|
neutral
|
We LOVE making sweets! kekekeke
|
joy
|
(Nze sinnaweza na myaka ana)
|
neutral
|
Aaya hai paane ke liye,
|
joy
|
"ima, anata no me ni wa nani wo mietemasu ka?"
|
surprise
|
ho dunia wale aisa kyu
|
neutral
|
Ee Jahanawa Ae Mai
|
anger
|
Yaar uske aaye mai akela tha wo tees the
|
neutral
|
see ya No comments yet!
|
surprise
|
Exeeni Yosefe enuupuwela awe vaavo vanisuwela awe wira Maria onrowa okhalana mwaana, masi nthowa xeeni onirukunuxa awe muupuwelelo awe?
|
neutral
|
kya loot pe jeeta hai kya paap kamaata hai
|
sadness
|
Make my images POP!
|
anger
|
Mbela ounyuni ou nao otau ka hanaunwa po nomeva ngaashi winya wopefimbo lanoa?
|
fear
|
Mie tena na weye?
|
surprise
|
Na Yoon Kwon,
|
neutral
|
na yoon kwon,
|
neutral
|
pwa pwa pwaeeeze help me.
|
anger
|
Tasya watusye durghe,
|
neutral
|
Linda nawa ooo.
|
neutral
|
kya hai paapi kya hai ghamandi,
|
disgust
|
Mwiiwaka oruma, mpitikuxe ebuukhu mwehe soocaambuliwa sikina.
|
anger
|
Makalata Onse "
|
neutral
|
Jisike na woli ndi i'na woli!
|
surprise
|
ndyomba makwakwata.
|
fear
|
nikuuka na kusauya tsona.
|
neutral
|
Kwoosa ngelekany'o ya Yakovo.
|
neutral
|
mana maine mana aj jana maine ye
|
neutral
|
Ngongo o te makuku me te manawa
|
neutral
|
Syana yu nosyikale sukulu muthenya muima.
|
neutral
|
Na Milos kunai Bhai didi yo tihar ma;
|
fear
|
Nthowa xeeni mwaara a Lothi vaathatunwa awe nripu na maakha?
|
neutral
|
Wuu wuu, my wife, wake up!
|
surprise
|
Na huaolelo kau e ka weli;
|
neutral
|
Uchala atutule mwee mwee!
|
disgust
|
Ala antavaa..ayite wakey
|
neutral
|
Amenewa makwacha?
|
neutral
|
Mwathani Ngai wakwa,
|
surprise
|
Kwa kweli kii ni kyaa kya Ngai.
|
neutral
|
jiao ao you na me ke pa ma ?
|
neutral
|
Make wai no ka weliweli wai hou aku?
|
surprise
|
Khalee hath mai kya aata isaliye der se aaya hu
|
neutral
|
Kulya valao ila woonie tawisi
|
neutral
|
... ndio maana tunakufa na njaa,...
|
neutral
|
Na na wele axa ye"
|
neutral
|
Ndo maana natononoka wee
|
sadness
|
mai is liye na aaya..
|
neutral
|
Finally came to watch it! kya kya kya kya
|
surprise
|
Ee Bwana, twaamini, wewe ndiwe yule
|
neutral
|
End of preview. Expand
in Data Studio
Kamba Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Kamba 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: 26,394
- Joy: 3228 (12.2%)
- Sadness: 1895 (7.2%)
- Anger: 1368 (5.2%)
- Fear: 1201 (4.6%)
- Surprise: 1779 (6.7%)
- Disgust: 1817 (6.9%)
- Neutral: 15106 (57.2%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Kamba
- 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/kamba-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{kamba_emotions_corpus,
title={Kamba Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/kamba-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
- Downloads last month
- 107
Size of downloaded dataset files:
700 kB
Size of the auto-converted Parquet files:
700 kB
Number of rows:
26,394