Datasets:
Bemba stringlengths 9 485 | emotion stringclasses 7 values |
|---|---|
Iwe salama kwa Ilyas. | neutral |
E balengele ifintu fyonse lukoso, kabili ba mano ukwakuti. | neutral |
Njishile mu ng'anda yobe; lelo taumpeele amenshi ya kusamba amakasa yandi. | anger |
Pa bukata bwao i payule ñenyenye bā. | neutral |
Ubufumu bwakwa Lesa e cilambu ca kuntanshi ica batetekela. | neutral |
Inoko wākomenwe kutamija kipwano kya mpwaninine na Yehova nansha mutyima wa kumusangaja. | disgust |
Lelo lino insita iiya ilafika, antu yako yonsi yano amazina yao yalembwa mu lupapulo lwakwe Leza yalatuulwa.'" | neutral |
Ilya afikile ati: Tata, umfweni ifyo uko, ukutila: Kano muntu akayishe mbulu ku muti. | anger |
Byo mumwenamo: Lesa wimulaya kwimupa bumi bwa myaka ne myaka inge mwamuyuka. | neutral |
Leka kulya mali yachikolo, igwasya bana, | anger |
Bali Balo (again!) | neutral |
Uzye ndinzile ukukuukila uku mpanga kuno ndakwata untungwa wa kupepa Leza?' | neutral |
Nceeci mbocibede bwini: "Hena toonse tatuli bana ba Taata omwe? | neutral |
Davidi wene wakweti vyonsi vii, nomba nanti ciye vivyo, watwalilile ukuya muicefye mu umi wakwe onsi. | neutral |
Limona ali limona; | neutral |
Paulo atile: "Tufwaya ukuba aba cishinka muli fyonse." | neutral |
Uzye mwimika uyo wa kusimikila antu Izwi Lyakwe Leza cila mwezi, pakuti mungayazwa ukutandika ukuombela Leza? | neutral |
Kādipo ukimumona'nka bu wandi mwana ino bu Mfumwandi ne Mupandiji wandi. | neutral |
Mu mashiwi yambi, balungami nomba muli Yesu. | neutral |
Tukawelenga ukuti: "Nga Leza anena Abulaamu ati: 'Utasakamikwa pa mwana na pa muzya wako Haga. | disgust |
"Lelo chibuku yalapwa ku Chililabombwe!" | neutral |
Nanshi pa kyaba kya kutompa kwikala umbajinji, le i kika kyotufwaninwe kulonga? - Bine, tufwaninwe kwikala bwa bapika kudi bakwetu. | neutral |
Na bubine tamba'tu ushilula kwikala'ko, waikele kala wa Umpangi obe, Yehova. | neutral |
Ulubembu lwalekenye abantu na Lesa kabumba. | neutral |
"Lino leka mulandawako ayiinde mulumuno, mwami, mbuli ijwi lyako. | disgust |
Amwaswike ati: "Kuti nacita shani ububi bwakula ifyo no kubembukila Lesa?" | anger |
"Iyo mwe mfumu," umuntu aaswike."Nalicita cilubo ica bipa, nininga ukukandwa pali ici." | anger |
Lelo muno nshiku calisuminishawa ukulanda pa mapaalo ayo abantu ba kwa Lesa bakwata! | anger |
E ico nani pali aba babili uwingamutemwa sana?" | neutral |
pa kutwela mu dikumbi, bakwatwa moyo. | fear |
Ubulwe'po Kutompa'bo mu Mwaka Umo? | neutral |
kon'ya wa mou oyasuminasai! | anger |
Lelo munkalwe wene atavikwatila uluse awe." | neutral |
Tuneneko antu Imilimo yakwe. | neutral |
Watashi no taan! ide yo tobipengin! | neutral |
InshaAllah, Aya boleh describe Aya ni macamana:) | surprise |
Takwaba uwapangile Lesa, e mulandu takwatila intendekelo. | neutral |
Ligongo chichi ngankutukulupilila uwwe pa Yusufu, kutendaga uwwe tukunsachililaga yambone jwalakwe?" | surprise |
Pali yeyo impindi, baLesa tabababuulilepo ukulwe'nkondo ne bapate babo. | neutral |
anasema: ni bantu mbili banapita: ni bantu mbili nani? bwana na bi- | neutral |
Tutawatilia ukuta ukuta, | neutral |
Ukumbusho kwa waumini | neutral |
Balilabiile ati: "Maliya asalulula icintu icakwabanya iciweme; lombe'co teti cikapokololwe kuli ye." | neutral |
Au bamonesha bampofu | neutral |
Eico, abo aba tetekela | anger |
Akapingula abantunse bonse. | neutral |
Ilyo lyonse imfula yatendeke ukuloka panuma ya lyeshi, ili itontonkanyo lifwile lyaleisa mu mano yakwe. | neutral |
Ino i kya bulanda, mwanda bamwikeulu bavule bātombokele Leza. | sadness |
Lelo i kitatyi'ka ne mwanda waka mwana-mukaji mwine Kidishitu ufwaninwe kwipūta ku mutwe mu mwanda utala butōtyi? | disgust |
Kolya Lukashenko, | disgust |
Umwana ayasuka ba wishi ati: "Tata, bushe kanshi tamwancetekela? | anger |
Uloompolola majulu anyika, uloompolola kuti abeteke bantu bakwe. | neutral |
Pantu alishiba icingawamina abantu bakwe. | neutral |
Kalibe yo muñwi naa ipumani mwa muinelo mañi, ili ku bonisa buniti bwa taba ifi? | neutral |
utuminwe kutabuka yewa umutumine bukatampe. | neutral |
Wānenene amba: "Mwanā muntu nandi ukekala munda mwa nshi mafuku asatu dyuba ne bufuku." | neutral |
nabo bamulondolola'mba: "Tata | anger |
iya ya Cak, | neutral |
Who cares anyway,fyakwe efyo. | neutral |
twita tubidi'twa, watala mulu, | sadness |
Aliyo u Balaba oli nsambo! | neutral |
Watashi no yume wa kanaete miseru wa, saigo no ishibbari. | sadness |
Baibolo itila: "Lesa wesu ali mu muulu; conse ico alefwaya ukucita alicita." | neutral |
Uno muntu watukile kwandi moloke kutabuka yewa muntu'wa, | anger |
Mazuba oonse ijoba nelyakacikede acikombelo, bakacilikede abalo. | neutral |
We Ntulo ya cumi na mano yonsi, | neutral |
"Nanchi twakonsha kwikala ku matwi nzoo mu mwaka mutanshi ye twisongwelamo nyi?" | neutral |
Mangwalo akaambilizya kale kuti: | neutral |
ce: - "Ku tashi ku kyale ni bai | fear |
Beshikamukowa bamwi inga tabacisuminiwo ico. | neutral |
Undapeni umweo wandi, pantu ni mwe nabembukila." | disgust |
" Bushe ninani engaleeta icintu ca busaka ukufuma mu ca busaali? | disgust |
" Bushe ninani engaleeta icintu ca busaka ukufuma mu ca busaali? | disgust |
Mwine wa Mulu Mwine, mwanda aye udi na kanye ku bampikwa kufwija'ko ne ku babi. | disgust |
Tuyukile amba mushipiditu wandi udi ku kupwila kwa pa kipwilo. | neutral |
Muleibukisha Ababa mu Mulimo wa Nshita Yonse | neutral |
Basyomi bonse ngababungane antamwi ciindi coonse bakombe Leza. | joy |
Kuli fye " Lesa umo " - eico Yesu te Lesa. | neutral |
Pano Naomi abasuka ati: 'Mulyelelwe ukubwelelamo, mwe bana banji. | neutral |
Ipusheni ati: Mulishipo shani, kani baLesa ebekalika icalo? | neutral |
Takwaba uwalingana nankwe ku maka, alipulamo. | neutral |
Ine nkakwafwa." - Esa. | fear |
Aliyo uyo akakoobaga ikujo lyakwe uyo antumile, u ng'wenuyo ali wa nghana, na hangi u muli wei butimo bubi. | disgust |
Ici, je ne faisais qu'imaginer. | neutral |
Walanzile ati: "Lino antu amu musumba umwi yamucuzya, utukilini ku musumba uze uli pipi na kuko." | anger |
I pa mwanda wa muswelo aye ne Shandi obamonanga bantu. | disgust |
Panuma, alilabiile ati: "Pakuti pali fyefyo lomba, kamubatina baYawe, mulukubapyunjila ne kutekanya ne cine." | fear |
"Bushe balashimpa amaboko yabo pa mutwe wa camusangulo lintu tacilafwa, nangula panuma caipaiwa? | disgust |
Ba layufwa pa milimo shabo ishisuma no kuyilangisha, nangula balatila ati ba bembu no tunwa twabo. | neutral |
Kabiji kechi mwafwainwa kwita muntu nangwa umo pano pa ntanda amba tata ne, mambo kwi anweba kujitu Shenu umo, yenka uji mwiulu. | neutral |
na muntu i mutungilwe kususu- | neutral |
Kandi na uukwamuhoko ngaashi tashi popiwa." | disgust |
Nangwa kya kuba manna afumanga kwi Lesa, kechi alengelanga muntu kwikala na bumi bwa myaka ne myaka ne. | disgust |
- Elyo babili pali abo baMalaika baile kuli Loti mu musumba wa Sodomu. | disgust |
Lesa aleshiba fyonse | neutral |
Abantu ne nama bakwata umupashi umo wine, nangu amaka ya mweo, mukati muli fyene. | neutral |
"Mbweenga Mwasebensesha Buloshuwa ya - Amukutike Kuli Lesa": (Mami. | neutral |
Isonde likesulamo abana ba kwa Adamu, kabili bakaba ne nsansa ilyo bakalasakamana ifya mweo ifyalekanalekana. | joy |
Lelo inshita shimo naleyipusha nga ca kuti e ko aba." | surprise |
Mupangi uyukile byobya byotusakilwa pa kwikala na nsangaji. | neutral |
Bemba-english Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Bemba-english for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model j-hartmann/emotion-english-distilroberta-base. The dataset is part of a larger collection of African language emotion analysis resources.
Dataset Statistics
- Total samples: 167,196
- Joy: 15441 (9.2%)
- Sadness: 11002 (6.6%)
- Anger: 9342 (5.6%)
- Fear: 6855 (4.1%)
- Surprise: 9543 (5.7%)
- Disgust: 13805 (8.3%)
- Neutral: 101208 (60.5%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Bemba-english
- emotion: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)
Data Splits
This dataset contains a single split with all the processed data.
Data Processing
The emotion labels were generated using:
- Model:
j-hartmann/emotion-english-distilroberta-base - Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("michsethowusu/bemba-english-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{bemba-english_emotions_corpus,
title={Bemba-english Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/bemba-english-emotions-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: 2025-07-04 Processing Pipeline: Automated emotion analysis using HuggingFace Transformers Quality Control: Deduplication and batch processing optimizations applied
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