Datasets:
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 |
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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