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:
Umbundu
Size:
10K - 100K
License:
Umbundu stringlengths 7 498 | emotion stringclasses 7 values |
|---|---|
U o ñolela, ndaño o fa, haimo o kala vali lomuenyo." | neutral |
Elipi po womwaava vavali a longa ehalo laxe?" | neutral |
yuhapi sni ye, onakipe wanjila | disgust |
Yosiya wa linga osoma yo Yuda eci a kuata anyamo ecelãla. | neutral |
Ali) O ye who believe! | anger |
Paulu wa popia hati: "Tu yongola oku kala vakuacili kovina viosi." | neutral |
Kuaci Kupas Mola | surprise |
Nda wa lia kepako liuti waco, haico o fa.' | anger |
Eli esapulo liwa kolondonge viosi via Yesu vakuekolelo. | joy |
Alua Baikadamova - Alua Ibrayeva | neutral |
Opo nee Jehova okwa li a tuma Moses namumwaina Aron va ka pule Farao a mangulule Ovaisrael. | neutral |
PaEndjovo daKalunga, ope na ashike omalongelokalunga omaludi avali elipi? | neutral |
Mahi etyi ovatumini vetuyeka tukale motyilongo, atulukala ondyuo onene. | joy |
Oku sumbila Suku oko ono yolondunge viocili. | fear |
Momo lie olonjali viange ka vi ngecelela oku linga ovina viaco.'" - Anne | fear |
Songuile vonjila ka yi pui.' | neutral |
Onghee hano, okwa li a nyamukula ovadali vaye nombili a ti: "Oshike mwa konga nge? | fear |
Momo lie o nukuila oku linga osoma?' | neutral |
Jon: Ndi sima okuti ondaka yaco yi tiamisiwila ku Suku. | neutral |
Momo ove wa sovola ovina viosi. | neutral |
A Suku, wa ndi longisa tunde vutila wange. | surprise |
Ivaluka Vamanji va Litumbika Kupange Wotembo Yosi | neutral |
Onduko yove yi sumbiwe." - Mat. | neutral |
Tungelo ve ku tu tuamena, | disgust |
Eci ca kapaile omuenyo wange kohele kuenje olonjanja vimue nda ambataile uta. | fear |
Satana, omupukifi munenenene, okwa kala ta 'twikifa eendunge daavo vehe na eitavelo' oule womido omayovi. | disgust |
Ame nda kolelele ku Suku, pole, sia tavele ku Satana." - ROGELIO. | fear |
Wa lekisa okuti ukuacili kovina vitito. | neutral |
Kape na omalimbililo kutya okwa hovela okuhongwa diva konima eshi a shitwa e li omudalwa wotete waKalunga. | neutral |
Olayeye Olumuyiwa, | neutral |
Onda ehena elela popepi naKalunga eshi nda li monghalo oyo idjuu." | joy |
Olondaka vi kuãimo vi kasi ndombangulo yimue Ombangi ya Yehova yi pondola oku kuata lomunu umue posongo. | neutral |
Ile otashi dulika Omukriste a kale ta fininikwa kovapambele ovo vehe fi ovaitaveli a hombole ile a hombolwe 'manga ina kulupa.' | neutral |
aliye vali sooti kheyli dare | joy |
Ola li la hongaula nokuyula Ovaisrael vahapu, ndele tava efa po okulongela Kalunga kashili. | joy |
Omo liaco, ka kisikiwa oku tu sapuila esunga liaco. | neutral |
Eteke Lioku Ivaluka Ava va fa. | sadness |
Olye ta vulu oku gu uva ko?" | anger |
Mbela ova li ngoo tava ka dula okuuda ko Omhango yaKalunga ngeenge kave shii elaka lOshiheberi? | neutral |
Omuenyo ka wa lelukile Kakristão vokaliye. | sadness |
Eye o laika oku viala omanu vange." | anger |
Ngeenge onde va lekele va ye komaumbo va fya ondjala, otava ka pundila mondjila, osheshi vamwe vomuvo ova dja kokule." | neutral |
Oha kala efimbo lihapu pamwe nomumwatate omunamido nokupwilikina kuye nelitulemo eshi ta popi. | disgust |
Ovo, asongui volomeke." | neutral |
Eli efindano linene kovatumwa. | joy |
Ewan ko! ndi ko ALAM! | neutral |
Ashike kava li ve shii efiku Omwene wavo te uya, onghee ova li va pumbwa okukala oupafi. | neutral |
Nda nda va tuma onjala kolonjo viavo, va ambukila vonjila, momo vamue pokati kavo va tunda kupãla." | neutral |
ale la valalua me hatavivile igogolu ovola, | disgust |
Suku ka tambulula kohutililo ndoyo. | neutral |
Fimbo 'onhalanheni yaKalunga ye va teelela pomafiku enya aNoa,' Kalunga okwa li a ninga po omalongekido opo a xupife Noa noukwaneumbo waye. | fear |
Kuenje o lombolola eci ci sukiliwa oco omunu a popeliwe poku popia hati: "Likolisili oku iñila vombundi ya sukatela." | surprise |
sumba waikelo sawah, | fear |
Vamue pokati 'kakamba' vange, va fetika oku fenya olodroga; vakuavo va liwekapo oku endaenda kosikola. | disgust |
Tu tumbika kokuove onjo, | joy |
Yesu wo likuminya hati: "O ka kala kumue lame Vocumbo Celau." | neutral |
Pefyo lavo opo hava tokolwa ngeenge ova wana | neutral |
Pole, ivaluka okuti, vamanji vana va amamako loku pandikisa, va ka tambula onima. | neutral |
Ndiaye Abdoulaye Penda | neutral |
Otava pula kutya fiyo onaini tava kala ngaha medu lavo vene. | neutral |
"Ndongise Oku Linga Ocipango Cove" | neutral |
siran ndun ko muliliyota ko Jahan- | fear |
Omo lionjongole yoku mõla eci eye a kala oku lilongisa, nda fetikavo oku lilongisa. | anger |
Vetiya olonjeveleli viosi oku tala ovideo yosi.) | neutral |
Yesu wa popia hati: "Okuambambe! | anger |
Ovilia viaco vi linga eteku lianyamo epanduvali elambu ana a laika oku iya oco omanu ka va ka fe lonjala.' | sadness |
Eci nda pasuka loku vanja omõlaco wa fa, nda limbuka okuti omõlaco hawangeko.' | neutral |
yambuma toku konjulemele, | neutral |
Toke cilo, etambululo Daviti a eca, li lekisa okuti eye kuatele ekolelo lia pama. | neutral |
Omo liaco, ovaprofeto vesanda tu pondola oku va limbukila kalongiso avo kuenda kovilinga viavo. | neutral |
Osha li sha fa ovatondi va 'tinha,' ile va nyeka ko nonyanya omaumbo oshilando. | anger |
Yehova wa sapuila Mose hati, 'ku ka yokoke. | fear |
Tala vali kefetikilo liocinimbu eci. | neutral |
Vutuhu ngoco ua vundilile linga cizango ca Njambi ci lingike kati ceni. | disgust |
Aveshe ova li ko pefimbo eshi Jesus a li kombada yedu nova shanga kombinga yaye. | neutral |
Tradução Anytime you like | neutral |
Aakwanegongalo oyali ya holoka momwaalu omunene kelongeloKalunga Osoondaha ndjoka. | anger |
Ovina nda lilongisa konembele ka via ñuatisile. | disgust |
Nalo yembo mare umbu lupe molkolie ulu te teringimunge Romo yemboma moloringimunge pep te siringi nosiku moloringi. | neutral |
VIUMA viose via cili vi tua kala navio via fuma kuli Njambi. | neutral |
Noke eye wa popia hati: 'Ene wa lisoki lalume vaco. | neutral |
Ulume kumue lonjo yaye yosi va kolela Yesu." | neutral |
Votoka; eye wa ku vilikiya." | anger |
Ngã pe pandu u'am: 'Jandema'e sawa'e te rape ke emutatambyk 'y. | neutral |
A Kalunga ño, leci cilimo sivayi. | joy |
Ovo va popia vati: 'Tu litungili olupale kuenda tu kalamo. | neutral |
Okuti katukevelela ovafendeli vae tupu vakala tyaongana? | neutral |
Mana yetu Saimi wa papatisiwavo kunyamo waco. | joy |
Eye wa popia hati: "A Tate, nda wa panga, njupe okopo eyi. | anger |
"Eye wa tambulula hati: 'ndi sukila oku enda kilu. | sadness |
Ko kaafir-u chavey, ko momin-u chavey, | neutral |
Nda wa ku yeva, wa kuatisa manjove." | neutral |
Eye o ka "nyõla ava va nyõla ilu lieve." | anger |
Sokolola ndeci okuti, ekamba limue lio kosikola li ku sapuila hati: "Sitava okuti kuli Suku. | disgust |
Nda ove vu Kristu, tu sapuile ocili." | neutral |
yetu hena wocekiye onkeyapi sni, | neutral |
Onjanja yipi yasulako nda soneha ukanda umue woku eca olopandu? | neutral |
Tala nghee to dulu okuyakula mo omukulukadi woye moilonga yaye. | neutral |
Jesus okwe va lombwela yo kutya ove na okwiilikana opo va pewe oikulya yefiku, opo omatimba avo a dimwe po nosho yo kombinga yoinima ikwao yopaumwene. | disgust |
Koloneke vilo, tu kuete ovina vialua okuti Avirahama ci sule. | neutral |
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Umbundu Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Umbundu 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: 83,350
- Joy: 8369 (10.0%)
- Sadness: 5432 (6.5%)
- Anger: 4599 (5.5%)
- Fear: 3944 (4.7%)
- Surprise: 5246 (6.3%)
- Disgust: 6907 (8.3%)
- Neutral: 48853 (58.6%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Umbundu
- 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/umbundu-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{umbundu_emotions_corpus,
title={Umbundu Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/umbundu-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:
3.38 MB
Size of the auto-converted Parquet files:
3.38 MB
Number of rows:
83,350