Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages • 44 items • Updated
Mossi stringlengths 10 271 | emotion stringclasses 7 values |
|---|---|
Bãwã idan yã yi salla? | disgust |
"Da zoe rabeem ye, bala, mam bee ne foom. | fear |
GhaM Ko BadnaaM Kar Gaye Aansu, | neutral |
Nees nkaum yim Dudek ok - | neutral |
Yef Y ne deye, thou gost to helle; | anger |
Dil me lagi aag na bujh payegi, | neutral |
Lamhon ki ek kitaab hai ye zindagi, | neutral |
Humko kisi kitaab me ye to nhn mila, | neutral |
kau tu yg noob,dah kne delete la kafir | anger |
qu'il ne false ne ne ploie, | neutral |
mercianþii încearcã sã ne facã sã credem cã ei, | disgust |
tab jaa kar hmne hai ye aajadi paayi , | neutral |
Ne prefãceam cã afarã e soare, | neutral |
Which ye shall taste before ye hang, to mortifie ye; | neutral |
ba, to, bã zã ku aikata ba, sabõda | anger |
Mai bine sã taci decât sã vorbesti rãu. | neutral |
Me ya'o samebõrõta | anger |
Lehrã bin ãyã Maiyã khosiyã lotãdiyã | neutral |
ye rooz too jahanam hamdigaro mibinim | neutral |
Les fards à yeux. | neutral |
Ke Adakunom se mak be yir, aky ti daam yir ke a ti ra yir ? | neutral |
Dindimmaa ko a faamaa ye ko, 'M faamaa, n na keetaafengo dii n na, meng mu n niyo ti.' | anger |
Bãmb maana fãa, baa a ye ka pa ye." | neutral |
Shyad Meri Kasoor ye hai ki aansu me Pani kam hai, | sadness |
Siala bee ne yãmb paama barka n yiid paga fãa, | joy |
Ye shaairi ye kitaabein ye aayatein dil ki, | neutral |
Bãmb na n tika bãad-rãmb ne b nusi, la b na n paama maagre. | neutral |
Says, Wae be to ye, waefu water, | disgust |
sã stea munţii fãrã grai, | neutral |
Kam ne bar ar ajã Xitumã karõn kum, | disgust |
ye kaam tum karne waali ho, right...??? | surprise |
Moses Ok Nkakra B Y Yie | neutral |
moses ok nkakra b y yie | neutral |
"ai vã mai miraþi cã marea nu vã lasã sã mergeþi! | anger |
ye jo muhabbat hai, ye unakaa hai kaam - | neutral |
Ba ije markam dja ba me'ã ar amã karõ. | neutral |
Vreau sã mã otie tot satul. | neutral |
La b leoka a Zezi n yeele: Zu-soaba, wa n ges-y-yã. | neutral |
Da ges-y y mens wa yam dãmb ye. | neutral |
Pe ba le yãŋ cã ma yee Yãhã kai- sroŋ, ma ka Nsãn n ga pe tãã yi loho wo. | fear |
La Israɛll nebã wa n yeela a Moiiz yaa: 'Tõnd kongame. | disgust |
aadmi ne aaine ko hairt me daal diya hai; | anger |
Mose maa yevese yem ken tar u Midian. | neutral |
Dayã garibi bandagi; samatã shêla karãra, | joy |
Vã rog sã mã înþelegeþi. | neutral |
T'a Balaam leok yaa: 'Fo yaanda maam. | anger |
Sã mai cearã o datã. | neutral |
Kon Suhãgan Divã Bãliã Meri Maiyã | neutral |
Maane na maane koyee duniya yeh sari , | neutral |
ye eh?ape yg d usha tu? | neutral |
kyaa error aa raha hai ye bataye. to mai kuchh bata sakata hu. | anger |
Bãmb b naasa fãa yaa toor-toore." | neutral |
All Die be Die nti, yes nso yentie obiaa dabi ara da, | surprise |
La bõe la d ne a Miise wakatã? | neutral |
choke dee na toog toog kon. | disgust |
N-o sã mã crezi, | neutral |
Bala tõnd yãa bãmb ãdg yaanga, la tõnd waame n na n waoog bãmba. | neutral |
Sabõda makãho yã je masa. | disgust |
hai tujhse ye ummed us maa ki, | joy |
Khwaab bun ye zara, | sadness |
En kaer Alba neb a vije, | disgust |
Comme la machalï kã supã enfumée, | neutral |
Pm sent to ye both. | neutral |
Pagal hai saala ye, | neutral |
ye samaa, samaa hai ye pyaar kaa - | neutral |
Raam ka naam badnaam na karo, | neutral |
A Zã-Mark ra bee ne bãmb n sõngd-ba. | neutral |
Withã coffeeã whenã youã haveã timeã toã spare. | neutral |
Gom-kãens yɛɛsa bãmba, la b basa a Zezi n looge. | surprise |
Bahu ye to bta tuje ye sab aakhir kisne btaya ha, | disgust |
ã DAN GE R! | neutral |
Haha, blog yaa later. | neutral |
Tõnd sõngda taaba, | neutral |
yesterday y maana. | neutral |
Rehne de ye kitaab tere kaam ki nahi, | neutral |
nikakõixõ a mã ipaoni keskara anã mã ãfe tari kexa ramãkani. | anger |
Agar ye haal hai dil kaa to koi samjhaaye, | sadness |
A Dieu, dans ma prière, | disgust |
meng zhong de eji uudam - | neutral |
Waseem yaar ye free he to hay.. | neutral |
Koi kya de raaye hamaare baare mai, | disgust |
Bɛɛbã na n digame, | neutral |
Vã rog sã mã iertaþi. | neutral |
ye kyaa kar Daalaa tuune dil teraa ho gayaa - | fear |
ye to duniya ka dastur h yaaro, | fear |
tiIe oa yTo) uI B oT - oy opy ye BI- | neutral |
Dil ko hai teri justujoo, yaa nabi, | neutral |
M baaba maana kaalem zabrã poor bilfu. | sadness |
ii se loo dare a mii mamaa y a mii tia.. | fear |
Acum o sã ne fie greu, o sã ne parã cã nu mai aveti solutii. | fear |
Kam che kha v ta ye maa la be dua raa, | neutral |
Ka ce, "Shin, to, bã zã ku yi tunãni ba?" | anger |
Wo ek boond ka Paani hu Mai, | neutral |
Haaye mere paas se hoke, | neutral |
Lot Ao ye mere DIL ki sada hai,, | neutral |
mam tõe gesã ball rar a ye zãng tele wã zugu. | neutral |
Ore ha'e ko tetã ãngapu, | disgust |
B est pour balle be be balle | anger |
Rasem a naas-n-soabã, bõe la a maan-yã? | surprise |
Dãri Kluãng, sempãt lãgi terbãbãs ke Tãngkãk. | disgust |
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Mossi Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Mossi 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: 125,695
- Joy: 12456 (9.9%)
- Sadness: 7989 (6.4%)
- Anger: 7559 (6.0%)
- Fear: 5541 (4.4%)
- Surprise: 8216 (6.5%)
- Disgust: 10054 (8.0%)
- Neutral: 73880 (58.8%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Mossi
- 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/mossi-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{mossi_emotions_corpus,
title={Mossi Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/mossi-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:
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Size of the auto-converted Parquet files:
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Number of rows:
125,695