Africa Sentiment Datasets
Collection
The collection contains sentiment-labeled text data for 42 African languages
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43 items
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Updated
Dataset Viewer
Zulu
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niyokwaba eniyokwaba niyokwaba aniyukwaba eningeyukwaba ningeyukwaba | Negative | 0 |
Kanti nokho niyakufa njengabantu nje, | Negative | 1 |
Uma uzithola ukulesi simo, cabanga ngesibonelo sikaMose. | Negative | 2 |
Amakholwa anjalo kuphela ayengangena ezulwini ngemva kokufa, okusho ukuthi ayesindiswa. | Positive | 3 |
Kusobala ukuthi bayifundisa indodana yabo, uSamsoni, umthetho kaNkulunkulu, kuyacaca nokuthi imizamo yabo yaphumelela. | Positive | 4 |
Singase sikuthole kusiqeda amandla ngisho nokushumayela izindaba ezinhle zoMbuso kaNkulunkulu, njengoba kuyimfuneko kumaKristu. | Positive | 5 |
Noma ngubani ayefisa, wabulala; futhi noma ubani ayemthanda, wabhubhisa; futhi noma ubani ayemthanda, waphakamisa; futhi noma ubani ayemthanda, wehlise. | Positive | 6 |
Abantu bakaNkulunkulu bayohlaselwa. | Negative | 7 |
ngiyakubanika umvuzo wabo ngeqiniso, | Positive | 8 |
ubenze bajabule endlini yami yomthandazo; | Positive | 9 |
Ngaze ngahlangana nabafowethu entathakusa sebesendleleni ebuyayo." | Positive | 10 |
Uyawusukuma amelane nendlu yalababi, | Positive | 11 |
Mabaphendukele kimi abakwesabayo nabaziyo ubufakazi bakho. | Positive | 12 |
O, babuhlungu kangakanani labo abangasizakali ngesimangaliso somusa kaNkulunkulu! | Negative | 13 |
Yebo, izikhonzi zoMbuso kaNkulunkulu zizokwenza intando kaNkulunkulu, ziqaphela uMdali - hhayi noma imuphi umuntu - njengoMbusi ofanele. | Positive | 14 |
Wathobisa inhliziyo yabo ngokuhlupheka; bawa kungekho osizayo. | Negative | 15 |
Futhi bahlala esikhundleni sabo, ezindlini zabo, kuso sonke isifunda esibheke empumalanga yeGileyadi. | Positive | 16 |
Abamesabayo ubapha ukudla; ukhumbula njalo isivumelwano sakhe. | Positive | 17 |
owenzile izulu ngokuhlakanipha, ngokuba umusa wakhe umi phakade; | Positive | 18 |
indlu kaJosefa ibe yilangabi, | Positive | 19 |
Kodwa, ayizange ikungabaze ukuthi uMdali usiqonda ngazo zonke izindlela. | Positive | 20 |
Ngokuba engisibeke phezu kwakho iminyaka yokona kwabo, ... | Positive | 21 |
Yayisithi: "Lawa angabagcotshiweyo ababili abemi ngaseNkosini yomhlaba wonke." | Positive | 22 |
UDeveli wagomela ngokuthi uma abantu bengalalela yena, izinto ziyobahambela kangcono. | Negative | 23 |
Kanti nokho niyakufa njengabantu nje, niwe njengesinye sezikhulu. | Negative | 24 |
Abantu bangase bathi kithi, "Kumelwe sikujabulele ukuphila. | Positive | 25 |
Futhi ngesikhathi sabo, ngeke balishaye indiva izwi lakhe. | Positive | 26 |
Lowo suku they ethusa. | Negative | 27 |
Reseo Masakan Onde - Onde Isi Ubi Ungu | Positive | 28 |
Saphenduka nabo ngakwesokunene futhi kwesobunxele, | Negative | 29 |
Encwadinakhe, watlola: "Yeke asinqophele kilokho okuletha ukuthula nokusenza sakhane." | Positive | 30 |
UNkulunkulu usicela ukuba siphathe abanye ngendlela elungile nengenzeleli ngokwemithetho yakhe. | Positive | 31 |
Uyabona yini ukuthi kungani uNkulunkulu abhubhisa lelo zwe? - Abantu babebabi, becabanga 'okubi ngaso sonke isikhathi.' | Negative | 32 |
Ngezibonakaliso ethu wena kanye nalabo abalandela nawe bayakuba Abanqobi . | Positive | 33 |
Ungathanda yini ukwazi iqiniso ngezingelosi - ukuthi zingobani, zaba khona kanjani nokuthi zenzani? | Positive | 34 |
Uthi: 'Endlini kaBaba kulezindawo ezinengi zokuhlala. | Positive | 35 |
Uya kusifikela njengemvula yasebusika - | Positive | 36 |
Izinhliziyo zethu zigcwala ukwazisa lapho sicabanga ngazo zonke lezi zikhonzi zikaNkulunkulu ezizidelayo. | Positive | 37 |
Ngoba isandla sakho sasinzima phezu kwami imini nobusuku." | Positive | 38 |
Lathi, "Ibhuku leli liyakuntshintsha ukuphila! | Positive | 39 |
Say, 'Ingabe nawe disbelieve kuYe owadala umhlaba ngezinsuku ezimbili? | Negative | 40 |
Ngakho ukube uJehova ubenguNkulunkulu ofihlekile nongaziwa, besingeke sisondele kuye. | Negative | 41 |
UJesu wasebenzisa umntwana omncane ukuze akwenze kucace kubaphostoli bakhe ukuthi kufanele bathobeke futhi babe nesizotha. | Positive | 42 |
O Allah, yilwa abangakholwa abaye banikezwa Book, Wena unguNkulunkulu ka Ngeqiniso. '" | Positive | 43 |
Yishoni kolungileyo ukuthi kuyakuba kuhle kuye, | Positive | 44 |
Wayethembise ukwenza inzalo kaJakobe ibe yisizwe esinamandla. | Positive | 45 |
Cishe ayeyozibuza ukuthi uNkulunkulu wokhokho bawo wayeyokwazi yini ukubakhulula. | Negative | 46 |
Ngakho-ke, ukukhumbuza by the Koran yilowo nalowo omesabayo usongo (My). | Negative | 47 |
Uthi: "Kwakungathi angazi lutho. | Negative | 48 |
(ukuthula kube kuye), befuna neziyalo zeKur'an. | Positive | 49 |
Uyovusa abantu abaningi kuhlanganise nabantu abangalungile abafa bengazi lutho ngoNkulunkulu weqiniso. | Positive | 50 |
Abafundi bathi: "Ezilikhomba, neenhlambi ezincani ezimbalwa." | Negative | 51 |
Njengoba abanjalo Sizokwenza nivuse abafileyo, ukuze ukhumbule . | Positive | 52 |
Ukulunga kwakho kunjengezintaba ezinkulukazi, | Positive | 53 |
"Ngabe ucabanga ukuthi le Master ingamanyathelo ambalwa ukuphakama kunathi?" | Negative | 54 |
UNkulunkulu wayefuna babe nomshado ojabulisayo futhi bagcwalise umhlaba ngezingane zabo. | Positive | 55 |
Kodwa ngaleso sikhathi, ngizobe ngingaseyena uAnton." | Negative | 56 |
Yena (Prophet Muhammad) kuphela warner kini, ngaphambi isijeziso esibi . ' | Negative | 57 |
Shall ngiyala wena a kwezentengiselwano uyakukusindisa ungangeni isijeziso esibuhlungu ? | Negative | 58 |
Inotho lenzuzo kusendlini yakhe, lokulunga kwakhe kumi laphakade." | Positive | 59 |
Akavumanga nokho ukulalela izwi lakhe, kepha ngokuba wayenamandla kunaye, wamphoqa, walala naye. | Negative | 60 |
yokwesaba lezinceku zami eziphakemeyo. | Negative | 61 |
Futhi-ke ubesecishe abe yizinkulungwane ezimbili zeminyaka; futhi uyoba njalo kuze kubuye iNkosi. | Positive | 62 |
Kuyakuba khona umgwaqo wensali yabantu bakhe, | Negative | 63 |
Yilowo nalowo owesaba Allah siyakuhlwithwa ukhululeke izono zakhe futhi banikezwa amaholo elinamandla . | Positive | 64 |
wabe wasondela, futhi waba close, | Positive | 65 |
Kuyo kukhona izimpawu ezicacile; esiteshini lapho u-Abrahama wema. | Positive | 66 |
Ababi bayakubuyela endaweni yabafileyo, bonke abezizwe abakhohlwa uNkulunkulu. | Negative | 67 |
UNkulunkulu wami uyakubalahla, ngokuba abamlalelanga, babe ngabazulazulayo phakathi kwabezizwe. | Negative | 68 |
Lokho kwabenza bathi: "Sibofakazi bazo zoke izinto azenzako." | Positive | 69 |
Bazofinyelela ngokushesha kumenzi wephutha. | Positive | 70 |
Futhi bayoba elizweni lakibo ngaphandle kokwesaba. | Positive | 71 |
olungileyo ugijimela kuwo, alondeke. | Positive | 72 |
Yisikhathi sokuqala akwenzile lokho, utshela McKennedy kamuva ngalobo busuku. | Positive | 73 |
Bunjalo recompense zabangakholwa. " | Positive | 74 |
ositheza ubuso bakhe kuyo indlu kaJakobe, | Negative | 75 |
Futhi uNkulunkulu wathi, Lokhu kuwuphawu lwesivumelwano engise... | Positive | 76 |
Bunjalo isibonelo isizwe ngubani aphikisana izibonakaliso Zethu. | Positive | 77 |
amamkhululukira amene wamfuna, | Positive | 78 |
Kodwa lamuhla kuyavunyelwa ukukhuluma ngezibusiso ezikholiswa ngabantu bakaNkulunkulu khathesi. | Positive | 79 |
Ngingakutshela ukuthi ososayensi bazohlangana ngoLwesihlanu nangoMgqibelo babelane ngolwazi lwesayensi, kodwa angikwazi ukukutshela ukuthi kuphi. | Negative | 80 |
Thwalani umphongolo wesivumelwano kanye nani. | Positive | 81 |
Isono sokuhlambalaza uNkulunkulu asikwazi ukuxolelwa kulokhu kuphila noma kokulandelayo. | Negative | 82 |
Ngilethe kuwe the best yaleli zwe futhi elilandelayo. | Positive | 83 |
Ngaphandle kwalokho, imibhalo yayizothi wayezoba ngokohlelo luka-Aaron. | Negative | 84 |
Wayefuna ukuba sesimweni ngenhla (isihlalo sami sobukhosi), ngaphezu kwezinkanyezi zikaNkulunkulu. | Positive | 85 |
USolomoni, nakuba le ntombi ingamvumanga, waphefumulelwa ukuba abhale indaba yayo. | Negative | 86 |
Ngempela, uma willed Allah, Wayekwazi away emehlweni abo kanye nokuzwa. | Negative | 87 |
Ngokuqinisekile, wena kodwa sizwe esingalaleli . ' | Negative | 88 |
Mufonele manje futhi kuzoba usuku lwakho lokugcina." | Positive | 89 |
Yilwani wonke endleleni Allah abulale nalabo disbelieve e Allah "- Ibn Ishaq:. | Negative | 90 |
Ngokusobala bengingeke ukweluleka uya ekhaya nabo ngalobo busuku kodwa uthathe inombolo yabo. | Positive | 91 |
UNkulunkulu angadala noma yini ayifunayo, noma iyiphi indlela ayifunayo. | Positive | 92 |
wathi mabafundiswe abantwana bakwaJuda eyoMnsalo; bheka, silotshiwe eNcwadini Yoqotho. | Negative | 93 |
UNkulunkulu wamnika uSolomoni ukuhlakanipha nengqondo ebanzi kakhulu, nenhliziyo enkulu ngangesihlabathi esisogwini lolwandle. | Positive | 94 |
Uthando kuNkulunkulu lulinganiswa lothando kulabo esibaziyo (Unkulunkulu uthi, "olwesibili lunjengalo"). | Positive | 95 |
Angakwenza ngikubulale away uma Yena kuthanda futhi baletha kokuba indalo entsha; | Positive | 96 |
Alungisela uJosefa isipho, ezofika emini, ngokuba ayezwile ukuthi ayakudla khona. | Positive | 97 |
Onke amazwi omlomo wami asekulungeni; | Positive | 98 |
Futhi kufanele kufakwe kanjani ifilimu, ikakhulukazi ezweni elisha? ' | Negative | 99 |
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Zulu Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Zulu for binary sentiment classification (Positive/Negative). Sentiments are extracted and processed from the English meanings of the sentences using DistilBERT for sentiment classification. The dataset is part of a larger collection of African language sentiment analysis resources.
Dataset Statistics
- Total samples: 187,435
- Positive sentiment: 102512 (54.7%)
- Negative sentiment: 84923 (45.3%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Zulu
- sentiment: Sentiment label (Positive or Negative only)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The sentiment labels were generated using:
- Model:
distilbert-base-uncased-finetuned-sst-2-english - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
- Filtering: Only Positive and Negative sentiments retained for binary classification
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/zulu-sentiments-corpus")
# Access the data
print(dataset['train'][0])
# Check sentiment distribution
from collections import Counter
sentiments = [item['sentiment'] for item in dataset['train']]
print(Counter(sentiments))
Use Cases
This dataset is ideal for:
- Binary sentiment classification tasks
- Training sentiment analysis models for Zulu
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{zulu_sentiments_corpus,
title={Zulu Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/zulu-sentiments-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: 2025-07-02 Processing Pipeline: Automated sentiment analysis using HuggingFace Transformers Quality Control: Deduplication, batch processing optimizations, and binary sentiment filtering applied
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Size of downloaded dataset files:
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Number of rows:
187,435