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:
Dinka
Size:
10K - 100K
License:
Dataset Viewer
Dinka
stringlengths 10
264
| emotion
stringclasses 7
values |
|---|---|
Yeen ku kacke aake ye Nhialic door.
|
neutral
|
Käke pol juëc bukku ke kueen, yenë kee piath.
|
neutral
|
wek otyek ninone ki kuc macalo latic pi mucara.
|
joy
|
Pan ë Nhialic ku Pan ë mac
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sadness
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Nous kekekeke Ah kekeke "
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sadness
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(Kɔc Itharel aake cie dek kek kɔc Thamaria.)
|
disgust
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Ku adït tënë atuuc nhial ku tënë Mothith aya.
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neutral
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Rin raan koor kamkun ëbën, yen ë raandït."
|
neutral
|
teri jaliyon ke neechay teri rehmat ke saaye,
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neutral
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lwet ciŋwu opoŋ ki tim me bal keken;
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neutral
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"Acïn raan töŋ la cök,
|
anger
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ka kɔc lik keyiic kek aabï poth,
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joy
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Keek aa kɔc la cök.
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neutral
|
Yeŋö ye wek diɛɛr lɔn cïn wek miëth?
|
fear
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ye booke-stores, and at ye doore.
|
neutral
|
Ku Nhialic yen ë cak käriëëc ëbën.
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neutral
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"Wek aa dhil jäl kam kɔc këc gam
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fear
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Ku këya, acï gen path guiir tënë ke.
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neutral
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Ku acï atuuc nhial tïŋ,
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disgust
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Pien Ar doŋ gijwero woko i dyewor acel keken
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neutral
|
say ye ate tho wholo dhrake?'
|
anger
|
Raan cam ayum kënë abï pïr akölriëëc ëbën."
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neutral
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Which ringeth aye true -
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neutral
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kome pe ye bedo gaŋ kacel;
|
neutral
|
Yeŋö kɔc la cök Nhialic nhom kek kɔc cïï la cök mat?
|
anger
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lɔn bï keek lony, ku lɔn bï kɔc cï cɔɔr bɛn daai,
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fear
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Ku kärɛc yekë ke looi aa yic gël bï cïï cɔl aŋic.
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neutral
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Rin keek aabä ŋic ëbën, meth ku raan dït.
|
neutral
|
Hell awaits ye rotten servants
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disgust
|
Ku kony kɔc tuany bïk pial,
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sadness
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Aköl bï athiëëk dɔm ku nyɛɛi keyiic, yen aköl bï kek thek.
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neutral
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Aköl kënë abï la ciel wegup ke cäk ŋic,
|
disgust
|
Gokë lueel, "Aa dhorou ku rec thii lik."
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neutral
|
Ku miŋ acï ya piŋ ku kɔc cï thou aacï röt jɔt.
|
sadness
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Me thinks ye mad!
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anger
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Dai pial ë kɔc cï luöi.
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sadness
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'Aven't ye ever sailed th' seven seas afore?
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neutral
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Acuk tïŋ ku wek aa lëkku yic cuk tïŋ.
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neutral
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Ku raan cïï wël raan käŋ tïŋ bï gam, acïï bï mat kɔc Nhialic yiic.'
|
anger
|
Lubaŋa keken aye ka larre
|
joy
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Yeen cïï ye Nhialic kɔc cie kɔc Itharel aya?
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surprise
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kuch rango ke saath, kuch rango ke beech,
|
joy
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Ku aabï pinynhom mac."
|
disgust
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Le kɔc lik bï poth bïk la pan Nhialic?"
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neutral
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Gɛɛr thaa, acï thualat juëc apɛi jatnhial në kä bike joop ëmɛɛn.
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neutral
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ye hath been warned.
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neutral
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Pyaar Ke Rang Udaaye Yeh Pichkari,
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neutral
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cockë keek ka cïï käŋ bï tïŋ,
|
neutral
|
God seeth what ye do.
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neutral
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Ee röök ë rot yen ë ye alëu bï jak cït käkkä cuɔp wei."
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neutral
|
Deng kennë nyan kennë aatɔ në thukulic.
|
joy
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Ku looi kacke bï aa kek la piny,
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disgust
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Keech mo'okw' nekach kee wa'sok to' yo' nowkwopen'.
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neutral
|
Wene ye that womens tonges be lame,
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disgust
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Helpe ye that are to waile aye woont, ye howling hounds of hell;
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anger
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rin wärken dït aake ye jam këlä,
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neutral
|
oejng pyejr vpit jnjiiions a year,
|
joy
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It ain't bad, I'll give ye that.
|
disgust
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ye gar tham jaayen,
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disgust
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Ku akëckë deet.)
|
surprise
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Acie yen; ne loŋ de gam, yen a nyiɛɛiye ye.
|
neutral
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Mël ke ake yeke yep e kuric ëya."),
|
fear
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Yïn lëu ba guɛl ëya tënɔŋ akutnhom de U.S. Department of Health and Human Services,
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neutral
|
Nawën yök lɔn ë yen raan wun Cilicia
|
joy
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things that make ye go hmmm..:)
|
neutral
|
Thak gaye jo ab zindagee ke safar mein,
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neutral
|
Ku na rac de wopiɔth, te ci en piath e Nhialic piɔu nyuɔɔth, buk ŋo lueel?
|
disgust
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Acï Nhialic lueel thɛɛr ëlä, "Wek aacä bï kaŋ päl wei, ku wek aacä bï nyääŋ wei."
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disgust
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Ku diɛɛkde acuk tïŋ, diik Wën töŋ Nhialic.
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neutral
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and then ye maye slyce it as ye doe lieche
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neutral
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Ku alëk we, na cäk luɔi kärɛc päl, ke wek aabï thou ëbën cïmënden."
|
sadness
|
Akuc ajak, raan raan wïc jɛɛk ë kuer puɔlic ku jɛɛk aye looi.
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neutral
|
aake mere haatho mein, hath n ye chutega,
|
anger
|
B - That par mek jer mer pog.
|
fear
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Enter ye nations thut obey
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neutral
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Käkä aa ce bɛn looi emën
|
neutral
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tekul qeiyu kiiie ruka meu,
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neutral
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Ka ye raan këc ruök,
|
disgust
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Ku lëk Kornelio Pïtɛr bï rëër ke ke nïn lik.
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neutral
|
Ku thekkë miëth rin bï kek Nhialic kaŋ door.
|
neutral
|
miit tho buyi-i AT COST.
|
neutral
|
Go kɔc juëc gam ku yekë Nhialic door.
|
joy
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Ku keek aabï we aa bui."
|
neutral
|
kaka, ka cua cu dual ke yoo thil Ya kuum,
|
fear
|
Go tiŋdɛ cɔl Phyllis bɛn bɛɛc ku go thou ni tuɛnyde cancer de lung.
|
sadness
|
"Käril aabï röt kaŋ looi tënë kɔc la cök ku bï keek jäl kony,
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neutral
|
vou, Ye seek me, not because ye saw tiie signs,
|
anger
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Luɔi ci weike nyaai e piny nɔm.
|
disgust
|
Ku Adam raan cieen aci aa wei, wei e kɔc tɔ piir.
|
disgust
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Ku kɔc bï wɛtde gam aabï pïr.
|
neutral
|
that lie wuulil he Ioiik lu iecociing,
|
anger
|
yeh we'll make a plan
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neutral
|
ko uu ye kinyoe kaat acheek pesenwogikyok.
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neutral
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Nimirai bë ke timith aye keek cɔl "factors."
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neutral
|
Ku week, caki ŋuan e keek aret?
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neutral
|
Men yen cara ci kenken Gumine?
|
surprise
|
Rin aköl kënë, mac abï luɔi cï looikä them ëbën, ku luɔi bï mac göök abï tïŋ.
|
neutral
|
(ane cuma pengen kue nya!)
|
joy
|
Kënë abï jaakdun juak yic pan Nhialic.
|
neutral
|
Ku cïï jakrɛc päl bïk jam rin ŋic kek ye.
|
anger
|
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Dinka-english Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Dinka-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: 38,798
- Joy: 3754 (9.7%)
- Sadness: 1710 (4.4%)
- Anger: 2837 (7.3%)
- Fear: 1373 (3.5%)
- Surprise: 3322 (8.6%)
- Disgust: 3240 (8.4%)
- Neutral: 22562 (58.2%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Dinka-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/dinka-english-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{dinka-english_emotions_corpus,
title={Dinka-english Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/dinka-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:
1.45 MB
Size of the auto-converted Parquet files:
1.45 MB
Number of rows:
38,798