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
Xhosa
stringlengths 1
500
| sentiment
stringclasses 2
values | __index_level_0__
int64 0
1.5M
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|---|---|---|
Usezandleni zikaThixo, endimnqulayo. "
|
Positive
| 0
|
Uthi: "Ndiyakuthanda ukuxelela abanye ngenyaniso.
|
Positive
| 1
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Siya kumenzela ntoni na udade wethu mhla kuya kuthethwa ngaye?"
|
Negative
| 2
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Abanye kusenokwenzeka abazange batsho la mazwi ngqo, sekunjalo bafunga phambi koThixo.
|
Positive
| 3
|
ngenyaniso akufundise yona?
|
Positive
| 4
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Oko yoka mawa djodjo eeeh Ngonda ay imene heinhein,
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Positive
| 5
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Inyaniso yeyokuba singqongwe bubungqina bobukho boMdali onobulumko, amandla, nothando.
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Positive
| 6
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UNowa wayengumshumayeli wobulungisa, kodwa ke abantu abaninzi abazange bamphulaphule.
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Negative
| 7
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Uze uqiniseke ukuba uyamshumayeza engekahambi."
|
Positive
| 8
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Ke ngoko, thabatha abakhonzi benkosi yakho, uze umsukele, kungenjalo unokufumana izixeko ezinqatyisiweyo, usabe kuthi.
|
Positive
| 9
|
Kwaye ndiyazi okokuba ziya kulondolozwa; kuba kukho izinto ezinkulu ezibhalwe kuwo, ezimalunga nezinto zabantu bam nabazalwana babo abaya bkugwetywa ngazo ngomhla omkhulu nowokugqibela, ngokwelizwi likaThixo elibhaliweyo.
|
Positive
| 10
|
Ewe kona, ukutshabalalisa abo bavukeli kwakuza kuyiphelisa tu imvukelo yabo.
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Negative
| 11
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Kutheni uThixo wabajonga njengabantu abamkhonza ngentliziyo epheleleyo, ibe sinokufana njani nabo?
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Positive
| 12
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UMtyholi wayesithi, ukuba abantu baphulaphula yena, baza konwaba.
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Negative
| 13
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Kwelinye icala, abantu baseNinive babengenawo umnqophiso wolwalamano noThixo.
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Negative
| 14
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Ngaphandle koko, izibhalo zazinokuthi wayeza kuba semva komyalelo ka-Aron.
|
Negative
| 15
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Kutheni uThixo evumela zonke ezi zinto zimbi zenzeke xa enawo amandla okuziphelisa?
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Negative
| 16
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Ili ee mne dala drugaya?
|
Negative
| 17
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Abantu abafileyo baza kuvuswa ebudeni beminyaka eliwaka.
|
Negative
| 18
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Indlela oncedakala ngayo: UThixo ukuthembisa ubomi obungunaphakade ukuba uye wamazi.
|
Positive
| 19
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Kuba imini nobusuku isandla sakho sasinzima phezu kwam."
|
Positive
| 20
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Thina na injongo enkosi yakho uhlobo kwaye uhlobo unxibelelwano.
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Positive
| 21
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Ubaphe ukudla abamoyikayo; Uwukhumbule ngonaphakade umnqophiso wakhe.
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Positive
| 22
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Ukususela kumaxesha akudala, abantu babehlanganisana ukuze banqule yaye bafunde ngoThixo.
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Positive
| 23
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Ndandiza kubathini abantwana bam?" - UJanet, waseMerika.
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Negative
| 24
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Sinolwazi oluchanileyo ngeLizwi lakhe ibe simqonda kakuhle yena kunye neenjongo zakhe.
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Positive
| 25
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Baninzi abathi kumphefumlo wam, Akunalusindiso kuThixo.
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Negative
| 26
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Ekukhanyeni kokusa bayakwenza, ngokuba kusemandleni ezandla zabo.
|
Positive
| 27
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Uya kuya noko esizukulwaneni sooyise; Abayikukubona ukukhanya naphakade.
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Negative
| 28
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Yena nentsapho yakhe bazama ukwenza okulungileyo emehlweni kaThixo.
|
Negative
| 29
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UYesu wathembisa ukuzinika (inkwenkwezi yasekuseni) kwabo babemelana neendlela zakhe ezimbi.
|
Positive
| 30
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"Wathandazela amaqabane akhe."
|
Positive
| 31
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Ziziphi iingxaki abaye bajamelana nazo abantu abaninzi, kodwa banqwenela ntoni abakhonzi bakaThixo?
|
Negative
| 32
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Kwaye ukusukela ngoku, uya kumazi, nimbonile ke.
|
Positive
| 33
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Wayekunye noThixo ngaphambi kokuba nayiphi na into idalwe, ngoko ke, ithatha inxaxheba ekudalweni.
|
Positive
| 34
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Amanye amaKristu aye enza isono esinzulu aziva engenakuxolelwa nguThixo.
|
Negative
| 35
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UEliyezere wayehamba nezinye izicaka zika-Abraham.
|
Positive
| 36
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lonjezo la Mbuye wanga nloona.
|
Positive
| 37
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Ekubeni kwakukudala lisaziwa igama likaThixo, yintoni kanye le wayefuna ukuyazi uMoses?
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Negative
| 38
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Ndaphendula okokuba ingelosi kaThixo ityhile oko kuye.
|
Positive
| 39
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Kaloku yena unguNyana kaThixo; yaye uThixo uyakwazi konke.
|
Positive
| 40
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UNyana kaThixo wancama yonke into, kuquka ubomi bakhe, ukuze alungiselele abanye.
|
Positive
| 41
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Kuba le yindlela uThixo unyule abantu, xa besiva iindaba ezilungileyo.
|
Positive
| 42
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Akakho kuthi okhe wambona uThixo okanye wabona xa kudalwa into.
|
Negative
| 43
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Ukuba wayekhethe ukuthobela uThixo, wayeza kuphila ngonaphakade kwiParadesi esemhlabeni.
|
Positive
| 44
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Ngoko, cinga ngaLowo wazidalayo ezi zinto.
|
Positive
| 45
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Kwaye ke wabafunzela ngaloo nyaka ngenxa yemfuyo yabo.
|
Positive
| 46
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kwaye ngentando yakho zabakho kwaye zadalwa. "
|
Positive
| 47
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Singatjho njani bona uZimu uberegisa iingilozi zakhe neenceku zakhe ezisephasini ukuphendula imithandazo yethu?
|
Negative
| 48
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Sikulinde ngamehl' abomvu ukuzaliseka kwesithembiso sikaThixo esithi: 'Kuya kubakho ukudla okuziinkozo okuninzi emhlabeni.'
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Negative
| 49
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Siya kuhamba nawe ukuya kubantu bakowenu.'
|
Positive
| 50
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Ndadibana nabazalwana bam sele bebuya kwintsasa elandelayo."
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Positive
| 51
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Watsho wazi nokuba lonke uluntu lwahlukanisiwe noThixo.
|
Negative
| 52
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"Yintoni endiyenzile kuwe ukuba undibethe ezi zihlandlo ezintathu?"
|
Negative
| 53
|
eebee's Products:
|
Positive
| 54
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Okanye ngaba uyalazi ixesha elimisiweyo lokuba zizale?
|
Negative
| 55
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Abo barhoxa kuwe baya kubhalwa emhlabeni.
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Positive
| 56
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Xa abangendawo benqunyulwa, uya kubona."
|
Positive
| 57
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IZibhalo zithi: "UThixo wethu usemazulwini; yonk' into ayoliswa kukuyenza uyenzile."
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Positive
| 58
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Phofu, ngoku ufuna ukubuyela kwiqela elisebenzisa olunye ulwimi!"
|
Negative
| 59
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Intliziyo yam ikholose ngaye, yaye ndincediwe, ukuze intliziyo yam igcobe."
|
Positive
| 60
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Uyabakhokela abantu bakhe ukuze bakwazi ukufumana ubomi obungunaphakade nokuze basinde kwiingozi.
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Positive
| 61
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Ngoko ke akuyi ukuba ukubhala walihlahlisa yemisinga ukuba anikholelwa.
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Negative
| 62
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Zothi ke zonke iintlanga, Kungenxa yantoni na, ukuba uYehova enjenje kweli lizwe?
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Negative
| 63
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Kwaye Wayehlala endlwini yenkosi yakhe,
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Positive
| 64
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Indithumele ukuze wena uphinde ufumane ukubona, uzaliswe nanguMoya oyiNgcwele."
|
Positive
| 65
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ubenze bavuye endlwini yam yokuthandaza;
|
Positive
| 66
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Loo nto iza kukunceda wazi ukuba uYehova ulindele ukuba wenze ntoni nokuba uye wabanceda njani abakhonzi bakhe ngaphambili.
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Positive
| 67
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Ukuze umsebenzi wethu usikelelwe ngOsenyangweni,
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Positive
| 68
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Egameni lam, baya kukhupha iidemon.
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Negative
| 69
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Khawucinge nangoko kwathethwa yindoda ethembekileyo uYobhi, owathi: "Ndenze umnqophiso namehlo am.
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Positive
| 70
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UMoses wanceda abanye ukuze babe nokholo kuThixo.
|
Positive
| 71
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"Ngubani lo owenza mnyama isiluleko ngamazwi angenalwazi na?
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Negative
| 72
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Njengomntu oselula, maxa wambi usenokoyika ukuthobela imiyalelo kaThixo.
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Negative
| 73
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Babesazi ukuba baza kufa ukuba bayamona uThixo.
|
Negative
| 74
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UPawulos wathi: "Sinqwenela ukuziphatha ngokunyaniseka kwizinto zonke."
|
Positive
| 75
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Enoba ufuna ukwenza ntoni na enkonzweni kaThixo, kuza kufuneka ube nendlela yokuziphilisa.
|
Negative
| 76
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Abaninzi beyiseka ukuba wayebafundisa inyaniso, baze "baba ngamakholwa."
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Positive
| 77
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Njengoko kuvuswa abafileyo, umhlaba uya kuzaliswa luvuyo olungazange lwakhona.
|
Positive
| 78
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Iya kuqiniseka njengenyanga ngonaphakade; Ingqina lasesibhakabhakeni lithembekile.
|
Positive
| 79
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Kodwa azizange ziphinde zibe ziingelosi zikaThixo, ngoko zaba ziingelosi zikaSathana, okanye iidemon.
|
Negative
| 80
|
Umntu ngamnye ke (ubuncinane) omnye izizathu ukuba blame.
|
Negative
| 81
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Abantu bakhangele ukubona oko wenzayo kwiimeko kuba ukhanya lukaThixo kubo.
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Positive
| 82
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Wathi: "Ukucoceka kwale holo kuyahambelana nonqulo lwenu."
|
Positive
| 83
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Simenza buhlungu uThixo ukuba sithandaza komnye umntu, iingcwele okanye iingelosi.
|
Positive
| 84
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Unoyolo yaye ungcwele lowo unesabelo eluvukweni lokuqala!
|
Positive
| 85
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Wakhetha abo bamoyikayo uThixo, abathembekileyo nabanokuthenjwa.
|
Positive
| 86
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Iilwimi zinokuba ngumqondiso kubantu abangakholwayo.
|
Positive
| 87
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Kwaye bonke abantu bomhlaba baya kurhoxa emthunzini wakhe, umshiye.
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Negative
| 88
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Amakholwa, ayikhwaz' eyoyika kub' enkwanty' ukuqwengwa,
|
Negative
| 89
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Kungekudala wafumanisa ukuba ayikho nenye kuzo eyayisenza yonke into efundiswa liLizwi likaThixo.
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Negative
| 90
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Ezo zinto zimele izigwebo zakho nanamhla, Ngokuba iinto zonke zingabakhonzi bakho.
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Positive
| 91
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Wayibeka uAron phambi kwesingqino, ukuba igcinwe.
|
Positive
| 92
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Wasukeleni ngokukhawuleza, kuba niza kuwafumana."
|
Positive
| 93
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Eso sithembiso siza kwenzeka nyhani phantsi koBukumkani BukaThixo.
|
Positive
| 94
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Kodwa ngobulumko bukaThixo, ahlala ekhuselekile ezandleni zam, ndada ngawo ndabe ndikuphumezile oko kwakufuneka esandleni sam.
|
Positive
| 95
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Uyambona na omnye wabo enqula phambi kwesithixo?
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Negative
| 96
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Kwakhona, asithandabuzi ukuba uNowa wachazela abantu ngekuphela kwendlela yokusinda, ephinda amazwi kaThixo athi: "Umele ungene emkhombeni."
|
Negative
| 97
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Akathandi namnye kuthi ukuba enzakale okanye atshabalale.
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Positive
| 98
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Badla ke, kwaye bekukho ezingakumbi, Ngokuvumelana nelizwi leNkosi.
|
Negative
| 99
|
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in Data Studio
Xhosa Sentiment Corpus
Dataset Description
This dataset contains sentiment-labeled text data in Xhosa 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: 1,499,997
- Positive sentiment: 841785 (56.1%)
- Negative sentiment: 658212 (43.9%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Xhosa
- 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/xhosa-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 Xhosa
- Cross-lingual sentiment analysis research
- African language NLP model development
Citation
If you use this dataset in your research, please cite:
@dataset{xhosa_sentiments_corpus,
title={Xhosa Sentiment Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/xhosa-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:
83.7 MB
Size of the auto-converted Parquet files:
83.7 MB
Number of rows:
1,499,997