Africa Sentiment Datasets
Collection
The collection contains sentiment-labeled text data for 42 African languages
•
43 items
•
Updated
Dataset Viewer
Tsonga
stringlengths 10
490
| sentiment
stringclasses 2
values |
|---|---|
Solomoni u andzise nhundzu yakwe ku tlula ya vanhu hinkwavo lava hanyeke emahlweni ka yena.
|
Positive
|
Va ni vana va mune va majaha naswona hinkwavo va le ntiyisweni.
|
Positive
|
Nowa a a ri muchumayeri wa leswo lulama kambe vanhu vo tala a va n'wi tekelanga enhlokweni.
|
Negative
|
Siku a lunghisaka matilo, a ndzi ri kona; Siku a tsalaka xirhendzevutana exibakabakeni.
|
Negative
|
Leyi I Ndhawu Leyi Hi Gandzelaka Yehovha Eka Yona
|
Positive
|
Kutani Xikwembu xi endlile vanhu va Midian ku fuma ehenhla ka vona ku ringana nkombo wa malembe.
|
Negative
|
Lava va xi chavaka, lavakulu ni lavatsongo,
|
Positive
|
Neta Jee Aakhir Humaara Munh Khulwa Hi Diya,
|
Positive
|
vanhu va xona lava xanisekaka, va ta tsutsuma va ya tumbela eka wona."
|
Negative
|
Eka rungula leri a ku boxiwi munhu wa vunharhu loyi a nga etlhelo ka Xikwembu.
|
Negative
|
Tlhandlakambirhi, ha tiyisekisiwa: "Swi ta va fambela kahle lava chavaka Xikwembu xa ntiyiso."
|
Positive
|
Mi nga ehleketi leswaku vanhu hinkwavo va ta swi twisisa leswi mi nga ta va dyondzisa swona.
|
Negative
|
U pfula voko ra wena u enerisa ku navela ka xilo xin'wana ni xin'wana lexi hanyaka."
|
Positive
|
Xana a hi swona leswi a hi ta swi langutela ebukwini leyi humaka eka Xikwembu?
|
Negative
|
Xana wa swi twisisa leswaku ha yini Xikwembu xi lovise xitukulwana xexo? - Vanhu a va hombolokile naswona leswi a va swi anakanya a swi "bihile nkarhi hinkwawo."
|
Negative
|
Nivusiku voko ra mina a ri tshambulukile naswona ri nga khomiwi hi vusindza;
|
Positive
|
U te: "Vutivi bya ntiyiso byi ta andza."
|
Positive
|
Xana a mi ti tluli hi risima?"
|
Negative
|
Vanhu va Xikwembu va ta hlaseriwa.
|
Negative
|
For la He decrees kholo bo hliziyo enzelelo them nga dude nga Him mukela them nga
|
Positive
|
Yesu a a ri Mutotiwa, kumbe Muhlawuriwa wa Xikwembu - Murhangeri la tshembisiweke.
|
Positive
|
Mudzimu vha ri: "Shango lothe line wa li vhona, ndi do li nea iwe na vhana vhau u swika lini na lini."
|
Positive
|
U songo mpfuralela musi wa khombo;
|
Negative
|
Mahungu lamanene ya Mfumo wa Xikwembu ma le ku chumayeriweni emisaveni hinkwayo, hilaha Yesu a profeteke hakona.
|
Positive
|
Xana a hi vumbiwanga hi Xikwembu xin'we xana?
|
Negative
|
Hambiswiritano, khombo ra kona vunghana bya vona ni Xikwembu byi vuye byi hela.
|
Negative
|
I buka ma ra tava di ga pota, ma i lolonge vue;
|
Positive
|
A ndzi fanele ndzi pfumerile ku va Mbhoni hi nkarhi lowu yi teke yi ta ndzi chumayela!"
|
Negative
|
hambiswiritano, a va tlheleli eka HOSI Xikwembu xa vona,
|
Positive
|
Un'wana ni un'wana wa vona u ya etindleleni takwe, a va hundzuluki emintileni ya vona.
|
Positive
|
Ina, Xikwembu xa swi xiya swiyimo leswi welaka lava xi tshembaka.
|
Positive
|
va ta vuya hi ku rhurhumela va huma evupeladyambu;
|
Positive
|
loko va rila eka xona, xa va twa kutani xi va ponisa.
|
Positive
|
Kambe a va fanele va xi tsundzuka hi siku rihi?
|
Negative
|
Hi xona xi vumbeke tinyeleti to kota Gongomela,
|
Positive
|
Loko valala va Vaisrayele va vona rirhangu ri tlakuka, va te: 'Hi ta tlhandluka hi ya va dlaya, hi va tshikisa ntirho wo aka.'
|
Negative
|
Hilaha a endleke hakona enkarhini wa Nowa, u ta nghenelela etimhakeni ta misava leswaku a herisa vubihi.
|
Positive
|
Xanyfiri says:
|
Negative
|
ú ta vona vatukulu va yena, a hanya malembe layo tala;
|
Positive
|
Hikuva yena u lerisile, kutani swi tumbuluxiwa.
|
Positive
|
Kutani Xikwembu xi n'wi be hi nhlokonho, ku nga vuvabyi lebyi vavaka.
|
Negative
|
Va ringete ku hlela leswaku ndzi tekana ni munhu la nga riki mupfumeri.
|
Negative
|
Va saleni endzhaku hi ku hatlisa, hikuva mi ta va kuma."
|
Positive
|
Vakreste va landzele xikombiso xa vona naswona namuntlha hi endla leswi fanaka emavandlheni ya hina.
|
Positive
|
U te: "Endlwini ya Tatana ku ni vutshamo byo tala.
|
Positive
|
Hi chumayele n'wini wa xitala xexo naswona u ve un'wana wa vanhu vo tala lava amukeleke ntiyiso.
|
Positive
|
u nga tikarhati hi ku ya emutini wa makwenu hi siku ra khombo,
|
Negative
|
Hikuva yena u ku tiva kahle ku vumbeka ka hina, wa tsundzuka leswaku hi ntshuri."
|
Negative
|
Leswi a a ri un'wana wa vadyondzisiwa va Yesu vo sungula, a a endla swikombiso ni swihlamariso leswikulu exikarhi ka vanhu.
|
Positive
|
Xikwembu xi kona hinkwako, xi tiva hinkwaswo
|
Positive
|
ni mihandzu leyi milaka hi tinguva ta yona,
|
Positive
|
Yohane u ta va muprofeta naswona u ta lunghiselela Mesiya ndlela.'
|
Positive
|
Kutani nyoka yi ku ka wansati: "Ku fa kona mi nga ka mi nga fi.
|
Positive
|
Enkarhini wolowo vanhu va wena va ta pona, un'wana ni un'wana loyi a kumekaka a tsariwe ebukwini."
|
Positive
|
hikuva leswi mi swi endlaka swi bihile ngopfu."
|
Negative
|
Ndzi rhuma murhumiwa wa mina, u fanele a basisa ndlela emahlweni ka mina.
|
Positive
|
U nga "hlayisa mbilu ya wena" hi ndlela yihi naswona u tshama u hambanile ni misava?
|
Positive
|
Kambe vatswari va tiva swo tala hi vutomi."
|
Positive
|
U nga tshuki u ku: "Hikwalaho ka yini masiku ya khale a ma sasekile ku tlula masiku ya namuntlha xana?"
|
Negative
|
Ri te: "Buku leyi yi cinca vutomi!
|
Positive
|
Xana a mi si twisisa?
|
Negative
|
Vo tala va khorwile leswaku a a dyondzisa ntiyiso naswona va "ve vapfumeri."
|
Positive
|
U nyikela vumbhoni malunghana ni Xikwembu ni N'wana xa xona.
|
Positive
|
Yakobe a a tiyimiserile ku endla leswi a nga swi kotaka leswaku a katekisiwa hi Xikwembu ku nga khathariseki swihinga.
|
Positive
|
Kambe tsundzuka: Hakelo yi ta kumiwa hi lava va nga lan'wiki.
|
Positive
|
Ri nga guda mini kha mafulufhedziso a Mudzimu, miano na milanga?
|
Negative
|
xana a hi xona xi nga Tata wa n'wina, yena loyi a mi vumbeke ke?
|
Positive
|
mihandzu ya wona yi dzudzeka,
|
Positive
|
Loyi a tshameke ehenhla ka yona u vuriwa wo Tshembeka ni wa Ntiyiso."
|
Positive
|
Phela, xana a va pfumeli leswaku Xikwembu i Hosi Leyi Lawulaka ya vuako hinkwabyo?
|
Positive
|
kambe lavo lulama va hakeriwa hi leswinene.
|
Positive
|
Kambe vatswari va tiva swo tala hi vutomi"
|
Positive
|
Hikokwalaho ndzi byeleni norho lowu kutani ndzi ta swi tiva leswaku mi nga swi kota ku hlavutela nhlamuselo ya wona."
|
Positive
|
Hi xitshuketa ku ta ta Hosi ya ntiyiso etempeleni ya Yena, leyi n'wina mi yi lavaka, ni murhumiwa wa ntwanano, loyi mi n'wi tsakelaka."
|
Positive
|
Kambe i mani munhu wo lulama ematihlweni ya Xikwembu?
|
Negative
|
Solomoni u te: "Ku chava Yehovha i masungulo ya vutivi."
|
Positive
|
Esikwini rero va ta tshwa, ku nga ha sali na un'we wa mhamba!
|
Negative
|
Loko a nga ri xona Xikwembu, kutani i muhembi, naswona a hi muprofeta, mufundhisi kumbe munhu la chavaka Xikwembu.
|
Negative
|
U ta ba paki ya ka, u bulelele ba bañwi ka m'o ni bonezi kacenu,
|
Positive
|
Khosi ya longela mulanda mmhi khothoni, u vhuya u swika a tshi lifha mulandu.
|
Negative
|
Yi ri: "Xikwembu hi xiviri xi ta va na vona.
|
Positive
|
Loko a vitaniwa leswaku a ta va muprofeta, eku sunguleni a a kanakana.
|
Negative
|
A ndzi tsakile ku va na vona loko ndzi vuya hi le Macedonia.
|
Positive
|
Ha yini swi ri swa nkoka swinene leswaku hi nga rhandzi swilo leswi nga emisaveni?
|
Negative
|
Hikuva u ni ndzivalelo wa ntiyiso, leswaku u ta chaviwa."
|
Positive
|
Ni tinyeleti hi toxe a ti basanga ematihlweni ya xona.
|
Negative
|
esikwini leri xi va kutsuleke eka valala,
|
Positive
|
Naswona hi nga xi tsundzuxa switsembiso swa xona eka hina: "Hosi, hi wena la nga te, 'Loko hi kombela hi ta nyikiwa.
|
Positive
|
Miyona Ka Bara To Mahrauni
|
Positive
|
Tintsumi to lulama ti hetisise vuavanyisi bya Xikwembu ti tlhela ti hundzisela rungula ra vuprofeta ni swileriso, ku katsa ni Nawu wa Muxe.
|
Positive
|
Va fanele va lehisa mbilu va rindza siku ra Xikwembu ra ndzihiselo.
|
Negative
|
Loyi a nga ni matimba ni vutlhari byo vumba matilo ni misava u fanele a nyike Muxe vutivi lebyi pakanisaka.
|
Positive
|
Ha yini ku ri wena ntsena la tshamaka, vanhu hinkwavo va hambeta va yima emahlweni ka wena ku sukela nimixo ku ya fikela nimadyambu?"
|
Negative
|
Handle ko kanakana, vanhu vo tano va ta swi xiya leswaku a va sandzanga moya lowo kwetsima wa Xikwembu, naswona a hi vagwinehi.
|
Positive
|
Tivutise, 'Xana swi fanerile leswaku hi nkhinsama hi khongela eka munhu un'wana handle ka Muvumbi tlhelo Munyiki wa hina wa vutomi?'
|
Positive
|
U lava ku bula ni n'wana wa wena hi mhaka leyi - kambe u ta swi endla njhani?
|
Negative
|
Xana hi fanele hi teka tindzimana letimbirhi tanihi vuprofeta byimbirhi lebyi hambaneke kumbe tanihi vuprofeta byin'we lebyi phindhiweke?
|
Negative
|
U te: 'A wu ri kwihi loko ndzi endla tilo ni misava?
|
Negative
|
ha lati vha mutendaho , hello
|
Negative
|
Kambe, leswi a swi nga vuli swona leswaku Xikwembu a xi ta pfumelela vanhu ni n'wana wa xona wa moya la xandzukeke leswaku va tiendlela ku rhandza hi laha ku heleleke.
|
Positive
|
End of preview. Expand
in Data Studio
Tsonga Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Tsonga 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: 255,067
- Positive sentiment: 151905 (59.6%)
- Negative sentiment: 103162 (40.4%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Tsonga
- 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/tsonga-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 Tsonga
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{tsonga_sentiments_corpus,
title={Tsonga Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/tsonga-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
- Downloads last month
- 7
Size of downloaded dataset files:
10.5 MB
Size of the auto-converted Parquet files:
10.5 MB
Number of rows:
255,067