Africa Sentiment Datasets
Collection
The collection contains sentiment-labeled text data for 42 African languages
•
43 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Karagas
Size:
10K - 100K
License:
Dataset Viewer
Kimbundu
stringlengths 10
402
| sentiment
stringclasses 2
values | __index_level_0__
int64 0
56.9k
|
|---|---|---|
Muene u bhana ue o kusuina ku jiselevende jê joso ja fiiele lelu. | Positive | 0 |
"Ki mu sote ku di ta mu kikalakalu kimoxi ni iá a kambe kuxikana, kala enu uenu mua sokela-nâ. | Positive | 1 |
Nzambi Iami Nga ku Dielela" | Positive | 2 |
O ua mondala-ku 'jina diê Kùfua, o kuema diê kua mu kaiela Kalunga-Ngombe. | Positive | 3 |
Maji xalenu mu kijiia, kuila se mu ngi jibha, mua-nda jibha diiala ki dia te kituxi.' | Negative | 4 |
O disá bhabha dyenyidi: Eye ki wa tokala 'kukala ni wôma' mu ku banza kwila Nzambi kene mu ku tala. | Positive | 5 |
'Kiebhi mu tena ku zeka mu kithangana kála kiki?' | Negative | 6 |
ila we jomba nikiboko, | Negative | 7 |
'Divulu didi, dia kitumu, ki u di katule mu kanu diê; ua tokala ku di tanga mu muanha ni mu usuku, ni uijiie ku bhanga ima ioso ni muanhu kala kia i soneka, mukonda se uenda ni ku ki bhanga, ua-nda kala ni uendelu uambote, ni unjimu.' | Positive | 8 |
Allah aap ka bhi bhala keray.. | Negative | 9 |
Mu kithangana kieniókio, o mon'ê uambe: 'Papá, eie ua kanena kua Jihova, mu kiki, eie ua tokala u kumbidila o kikanenu kiê.' | Positive | 10 |
Ki kya-nda kwa bhonza we ku di loloka. | Positive | 11 |
O Jikidistá a dielela ni muxima uoso mu kikanenu kia difukunukinu, kiki kiene mu a kuatekesa. | Positive | 12 |
Eme nga-nda bhanga ioso phala ku ku bhana o dibhia diodio.' | Negative | 13 |
O kuila athu enhá a tokala ku a kaxtikala mu túbhia thembu ioso katé ku hádia ni hádia? | Negative | 14 |
Sur bhi kafir taal bhi kafir, | Negative | 15 |
Muéne ua bhange o diulu, o ixi ni ibhangelu ioso. | Positive | 16 |
Ka milo Laka imua, | Positive | 17 |
O kuila eme ni Alá tu tena ku tundisa menha ku ditadi didi phala enu?' | Negative | 18 |
Muéne ua betele kota mu tatesa o mundu, o tat'ê, Solomá ndenge. | Positive | 19 |
Oso a dizangeleka muene u a tulula, u bhana o utuminu kua ió uoso ua muandala.' | Positive | 20 |
Jezú ua bhiti kithangana kiavulu ni maxibulu mê, iu ua a longo o ibanzelu ia Nzambi. | Positive | 21 |
Jixefe jami ejiia kuila nuka nga-nda kua tanga makutu." - Tom, mukua Estados Unidos. | Positive | 22 |
Ku mazulu, mu kota mu nkembo; | Positive | 23 |
Ka kuesi Njambi ueka ua hiana ikeye.' | Negative | 24 |
Kizuua kimoxi Mbalahamu uambela Lote: 'Kuku ki kuale kididi kiavulu phala o ibhaku ietu ioso. | Positive | 25 |
Nanhi mudietu u bhanga phoko ku nguzu ia bhange ene, sumbala mu maukexilu a iibha? | Negative | 26 |
O Jijude kexile muya mu mabhata a athu kexile Jijude. | Negative | 27 |
Enu muambele muene ku ngi bhanga phulu; Nzambi-phe ua ki lungulula kì kia di bhange mbote; Muene ua ki bhitisa kiengi kala ki mua ki mono kizuua kia lelu, phala ku bhulula mienhu ia ndumba." | Positive | 28 |
Ene oso eji kaiela ngó 'mubhidi umoxi.' | Positive | 29 |
Mu kiki, xala mu kuijiia kuila o jianju ja mesena o mbote ié. | Positive | 30 |
Nzambi u tena ku ku kuatekesa bhu kaxi ka izuelu ni ibhangelu iambote ia akuetu. | Positive | 31 |
Kioso Mozé kiebhula o dijina dia Nzambi, Jihova ua mu tambuijila: "Eme kala-dia-kala." | Positive | 32 |
Athu oso a iuka ni ió abhukumuka a-nda fukunuka. | Positive | 33 |
Eme ngejidile kiá ihi ia mesenene muene." - DYLAN. | Positive | 34 |
Mu kiki, ndenu ni lusolo, zenu ni tat'etu.' | Positive | 35 |
Iene iamba: "Zukamenu kua Nzambi, muène u mi zukama enu." | Positive | 36 |
"Eie-ze u Muhatu ua Uabha Kiavulu ku Mesu a Athu" - O Kixikanu Kia Sala mu Bibidia | Positive | 37 |
Muéne ka mono ngó Jezú kala mon'ê, maji kala Ngana ni Mubhuludi uê. | Positive | 38 |
Nzambi ua ambela phala kudia o ibundu ia mixi ioso ia jaludim. | Negative | 39 |
Nzuá ua-nda kala polofeta, muene ua-nda pelepalala ue o njila phala o uijilu ua Mexiia.' | Positive | 40 |
Iebhi ia bhonzo dingi?' | Negative | 41 |
Davidi wa sambe: "U Jihova, eye wa ngi solokota, wa ng'jiya. | Positive | 42 |
Mwene wa jimbulula: "Sayi phange ya muhatu wa ngi bhiti sé ku ngi menekena. | Positive | 43 |
Satana wasadila nioka mu yuvula Eva: 'Nga dialudi kikilu vo Nzambi wavova vo ke nudie nti miawonso mia mpatu ko e?' | Negative | 44 |
Nanhi ua bhange o ji-anju, kuene jikuxi? | Positive | 45 |
Lembalala ió a di Bhakula mu Sidivisu ia Thembu Ioso | Positive | 46 |
Nga tu muesa vuhuanga ku vihutu, | Negative | 47 |
Ihi ilombolola o kikanenu kia Jezú: "Ua kà kala ni eme mu Palaízu?" | Positive | 48 |
Mu muanha muéne ua endesa ni dituta, mu usuku ni mukalakata ua túbhia. | Positive | 49 |
U tena ngó ku zukama kua Nzambi, se u mu dielela mba u kala ni kixikanu kua muéne. | Positive | 50 |
Kala kya tangele Jezú m'ukulu, o njimbu yambote ya Utuminu wa Nzambi a mu i tula mwene mu ngongo yoso. | Positive | 51 |
Ye kitab bhi kia kitab hai, | Positive | 52 |
ye kitab bhi kia kitab hai, | Positive | 53 |
Ki tu itni jaldi mujhe bhul jaye, | Negative | 54 |
mu sota o mb"mbi, | Negative | 55 |
Ki tu bhi chura lega mere wo din, | Negative | 56 |
Muene uambe: 'Kuebhi ku ua kexile kioso ki nga bhange o diulu ni ixi? | Negative | 57 |
Leza wāmwipangula'mba: 'I kika kidi mu kobe kuboko?' | Negative | 58 |
Madiia uambe: 'Kiki ki bhita kiebhi, eme ki ngejiia luua diiala?' | Negative | 59 |
O Mubhangi wejiya ihi i twa bhindamena phala kusanguluka. | Positive | 60 |
Nzambi wa bhange Jezú ubheka wê, mwene ngó a mu bhange kiki. | Negative | 61 |
Subhan'Allah ual-hamdulilah, ua laa ilaha ila Allah ua | Positive | 62 |
Mukonda Tata ia henda, muéne ua lange o jiselevende exile jifiiele, kála Noué, Mbalahamu, ni Davidi. | Positive | 63 |
Mana ki hawao bhi apna, | Negative | 64 |
Kioso kia zukama, muéne uixi: 'Eme ngi phang'enu, Zuze, mua ngi sumbisile mu Ijitu.' | Positive | 65 |
Kwenu ni kiangoma ama ni kiangai? | Negative | 66 |
Se tu londekesa o kixikanu, tua-nda tambula mabesá; se ki tu ilondekesa, tu texi o mabesá." | Negative | 67 |
Kiene kimoxi ué, Nzambi ua bhange kima phala kudimuna o athu ande dia kubheka o dizubhilu. | Positive | 68 |
Kioso o masoladi kia vutuka ku ita ni akua Fidíxa, ahatu embile: 'Saúlu ua jibha jimidi, maji Davidi ua jibha makuinhi a jimidi.' | Positive | 69 |
ué kuma Nzambi ua mu fukununa mu 'alunga, eie u buluka. | Positive | 70 |
Bhenhobho, jianju javulu ja moneka ku diulu, exi: 'Fuma i kale ia Nzambi mu diulu, o mu ngongo uembu mua'xaxi ka athu oso a mu uabhela.' | Positive | 71 |
'Eie ua Beta ku Ngi zola Eme, o Ima Iii Ndenge?' | Positive | 72 |
Re: kia KHUDA bhi us ka tha? | Negative | 73 |
Thembu kuxi kia-nda mateka o difukunukinu dia athu ambote ni athu a iibha? | Negative | 74 |
"Tua-nda Kala Dingi ni Kiônge Kia Dikota Kizuua Kuxi?" | Negative | 75 |
Saí ima iavulu ku muenhu ki ngi tena ku bhanga. | Positive | 76 |
Enu mu tena kubheza bhabha.' | Positive | 77 |
Muéne ua tambuijila: 'Ngana Nzambi ié kuene kuala, kuma eme né ngó mbolo imoxi ki ngala na-iu; ngala ngó ni dibhûbhu dia tu fuba mu ímbia, ni tu maji tuòfele mu thenda. | Negative | 78 |
Ki mua kijiia kuma Eme nga bhingi ngi kala m'onzo ia Tat'etu?' | Negative | 79 |
O Kuila ua Luuala ni Nzambi? | Negative | 80 |
Tenu -phe kiá kikutu ni etu." | Positive | 81 |
Ezekiia ua bhangele mbandu ia kifuxi kia kanene kubelesela o itumu ia Nzambi. | Positive | 82 |
Maji ene a texi o ukamba uâ ni Nzambi. | Negative | 83 |
Kienhiki, kiene kia bhangele Noué kála kia mu tumine Nzambi. | Negative | 84 |
Tu tena kusola ku mu sidivila mba kana. | Negative | 85 |
Nzambi ua bhele ué kua Mozé mabaia a matadi aiiadi. | Negative | 86 |
Nga Ene a do fheliswa, | Negative | 87 |
Na Tu Kabhi Aaya Hai , Na Tu Kabhi Aayega, | Positive | 88 |
Tala dingi mu dimatekenu dia velusu íii. | Positive | 89 |
Muéne u a langa mu kima kioso-kioso ki tena ku zozesa o kixikanu kiâ, ni kidielelu kia ku tambula o muenhu ua kalelaku. | Positive | 90 |
Mu kudia ku kibundu, ene a solo kubhukumukina o kitumu kia Nzambi. | Negative | 91 |
Maji o jipoxolo ka mu tambuijila, mukonda ene akexile mu zoka se nanhi uexile o dikota mu kaxaxi kâ. | Negative | 92 |
Se ki kiene, ene eji sota kiá ngeleja iéngi. | Negative | 93 |
U sukula o inama ya jipoxolo | Positive | 94 |
Nga-nda zuela o maka iá ni makamba mami." | Positive | 95 |
Muene uambe: "Tata, eie se ua ki andala, dikáu dia phaxi dienhidi, ngi katule-diu. | Negative | 96 |
Muéne mukuâ kuloloka. | Positive | 97 |
Ua kū ka maile a Laka a imua, | Negative | 98 |
Eme ngejidile kuila kuene Nzambi maji ki ngi xikinine kuila kuene Satanaji." - ROGELIO. | Positive | 99 |
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Kimbundu Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Kimbundu 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: 56,896
- Positive sentiment: 31789 (55.9%)
- Negative sentiment: 25107 (44.1%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Kimbundu
- 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/kimbundu-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 Kimbundu
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{kimbundu_sentiments_corpus,
title={Kimbundu Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/kimbundu-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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Size of the auto-converted Parquet files:
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Number of rows:
56,896