Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages
•
44 items
•
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Bemba (Zambia)
Size:
100K - 1M
License:
Dataset Viewer
Bemba
stringlengths 9
485
| emotion
stringclasses 7
values |
|---|---|
Iwe salama kwa Ilyas.
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neutral
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E balengele ifintu fyonse lukoso, kabili ba mano ukwakuti.
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neutral
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Njishile mu ng'anda yobe; lelo taumpeele amenshi ya kusamba amakasa yandi.
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anger
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Pa bukata bwao i payule ñenyenye bā.
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neutral
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Ubufumu bwakwa Lesa e cilambu ca kuntanshi ica batetekela.
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neutral
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Inoko wākomenwe kutamija kipwano kya mpwaninine na Yehova nansha mutyima wa kumusangaja.
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disgust
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Lelo lino insita iiya ilafika, antu yako yonsi yano amazina yao yalembwa mu lupapulo lwakwe Leza yalatuulwa.'"
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neutral
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Ilya afikile ati: Tata, umfweni ifyo uko, ukutila: Kano muntu akayishe mbulu ku muti.
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anger
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Byo mumwenamo: Lesa wimulaya kwimupa bumi bwa myaka ne myaka inge mwamuyuka.
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neutral
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Leka kulya mali yachikolo, igwasya bana,
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anger
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Bali Balo (again!)
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neutral
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Uzye ndinzile ukukuukila uku mpanga kuno ndakwata untungwa wa kupepa Leza?'
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neutral
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Nceeci mbocibede bwini: "Hena toonse tatuli bana ba Taata omwe?
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neutral
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Davidi wene wakweti vyonsi vii, nomba nanti ciye vivyo, watwalilile ukuya muicefye mu umi wakwe onsi.
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neutral
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Limona ali limona;
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neutral
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Paulo atile: "Tufwaya ukuba aba cishinka muli fyonse."
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neutral
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Uzye mwimika uyo wa kusimikila antu Izwi Lyakwe Leza cila mwezi, pakuti mungayazwa ukutandika ukuombela Leza?
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neutral
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Kādipo ukimumona'nka bu wandi mwana ino bu Mfumwandi ne Mupandiji wandi.
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neutral
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Mu mashiwi yambi, balungami nomba muli Yesu.
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neutral
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Tukawelenga ukuti: "Nga Leza anena Abulaamu ati: 'Utasakamikwa pa mwana na pa muzya wako Haga.
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disgust
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"Lelo chibuku yalapwa ku Chililabombwe!"
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neutral
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Nanshi pa kyaba kya kutompa kwikala umbajinji, le i kika kyotufwaninwe kulonga? - Bine, tufwaninwe kwikala bwa bapika kudi bakwetu.
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neutral
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Na bubine tamba'tu ushilula kwikala'ko, waikele kala wa Umpangi obe, Yehova.
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neutral
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Ulubembu lwalekenye abantu na Lesa kabumba.
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neutral
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"Lino leka mulandawako ayiinde mulumuno, mwami, mbuli ijwi lyako.
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disgust
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Amwaswike ati: "Kuti nacita shani ububi bwakula ifyo no kubembukila Lesa?"
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anger
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"Iyo mwe mfumu," umuntu aaswike."Nalicita cilubo ica bipa, nininga ukukandwa pali ici."
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anger
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Lelo muno nshiku calisuminishawa ukulanda pa mapaalo ayo abantu ba kwa Lesa bakwata!
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anger
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E ico nani pali aba babili uwingamutemwa sana?"
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neutral
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pa kutwela mu dikumbi, bakwatwa moyo.
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fear
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Ubulwe'po Kutompa'bo mu Mwaka Umo?
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neutral
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kon'ya wa mou oyasuminasai!
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anger
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Lelo munkalwe wene atavikwatila uluse awe."
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neutral
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Tuneneko antu Imilimo yakwe.
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neutral
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Watashi no taan! ide yo tobipengin!
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neutral
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InshaAllah, Aya boleh describe Aya ni macamana:)
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surprise
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Takwaba uwapangile Lesa, e mulandu takwatila intendekelo.
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neutral
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Ligongo chichi ngankutukulupilila uwwe pa Yusufu, kutendaga uwwe tukunsachililaga yambone jwalakwe?"
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surprise
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Pali yeyo impindi, baLesa tabababuulilepo ukulwe'nkondo ne bapate babo.
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neutral
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anasema: ni bantu mbili banapita: ni bantu mbili nani? bwana na bi-
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neutral
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Tutawatilia ukuta ukuta,
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neutral
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Ukumbusho kwa waumini
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neutral
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Balilabiile ati: "Maliya asalulula icintu icakwabanya iciweme; lombe'co teti cikapokololwe kuli ye."
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neutral
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Au bamonesha bampofu
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neutral
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Eico, abo aba tetekela
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anger
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Akapingula abantunse bonse.
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neutral
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Ilyo lyonse imfula yatendeke ukuloka panuma ya lyeshi, ili itontonkanyo lifwile lyaleisa mu mano yakwe.
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neutral
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Ino i kya bulanda, mwanda bamwikeulu bavule bātombokele Leza.
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sadness
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Lelo i kitatyi'ka ne mwanda waka mwana-mukaji mwine Kidishitu ufwaninwe kwipūta ku mutwe mu mwanda utala butōtyi?
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disgust
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Kolya Lukashenko,
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disgust
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Umwana ayasuka ba wishi ati: "Tata, bushe kanshi tamwancetekela?
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anger
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Uloompolola majulu anyika, uloompolola kuti abeteke bantu bakwe.
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neutral
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Pantu alishiba icingawamina abantu bakwe.
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neutral
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Kalibe yo muñwi naa ipumani mwa muinelo mañi, ili ku bonisa buniti bwa taba ifi?
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neutral
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utuminwe kutabuka yewa umutumine bukatampe.
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neutral
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Wānenene amba: "Mwanā muntu nandi ukekala munda mwa nshi mafuku asatu dyuba ne bufuku."
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neutral
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nabo bamulondolola'mba: "Tata
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anger
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iya ya Cak,
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neutral
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Who cares anyway,fyakwe efyo.
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neutral
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twita tubidi'twa, watala mulu,
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sadness
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Aliyo u Balaba oli nsambo!
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neutral
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Watashi no yume wa kanaete miseru wa, saigo no ishibbari.
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sadness
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Baibolo itila: "Lesa wesu ali mu muulu; conse ico alefwaya ukucita alicita."
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neutral
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Uno muntu watukile kwandi moloke kutabuka yewa muntu'wa,
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anger
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Mazuba oonse ijoba nelyakacikede acikombelo, bakacilikede abalo.
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neutral
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We Ntulo ya cumi na mano yonsi,
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neutral
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"Nanchi twakonsha kwikala ku matwi nzoo mu mwaka mutanshi ye twisongwelamo nyi?"
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neutral
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Mangwalo akaambilizya kale kuti:
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neutral
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ce: - "Ku tashi ku kyale ni bai
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fear
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Beshikamukowa bamwi inga tabacisuminiwo ico.
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neutral
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Undapeni umweo wandi, pantu ni mwe nabembukila."
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disgust
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" Bushe ninani engaleeta icintu ca busaka ukufuma mu ca busaali?
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disgust
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" Bushe ninani engaleeta icintu ca busaka ukufuma mu ca busaali?
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disgust
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Mwine wa Mulu Mwine, mwanda aye udi na kanye ku bampikwa kufwija'ko ne ku babi.
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disgust
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Tuyukile amba mushipiditu wandi udi ku kupwila kwa pa kipwilo.
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neutral
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Muleibukisha Ababa mu Mulimo wa Nshita Yonse
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neutral
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Basyomi bonse ngababungane antamwi ciindi coonse bakombe Leza.
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joy
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Kuli fye " Lesa umo " - eico Yesu te Lesa.
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neutral
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Pano Naomi abasuka ati: 'Mulyelelwe ukubwelelamo, mwe bana banji.
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neutral
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Ipusheni ati: Mulishipo shani, kani baLesa ebekalika icalo?
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neutral
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Takwaba uwalingana nankwe ku maka, alipulamo.
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neutral
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Ine nkakwafwa." - Esa.
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fear
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Aliyo uyo akakoobaga ikujo lyakwe uyo antumile, u ng'wenuyo ali wa nghana, na hangi u muli wei butimo bubi.
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disgust
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Ici, je ne faisais qu'imaginer.
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neutral
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Walanzile ati: "Lino antu amu musumba umwi yamucuzya, utukilini ku musumba uze uli pipi na kuko."
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anger
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I pa mwanda wa muswelo aye ne Shandi obamonanga bantu.
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disgust
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Panuma, alilabiile ati: "Pakuti pali fyefyo lomba, kamubatina baYawe, mulukubapyunjila ne kutekanya ne cine."
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fear
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"Bushe balashimpa amaboko yabo pa mutwe wa camusangulo lintu tacilafwa, nangula panuma caipaiwa?
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disgust
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Ba layufwa pa milimo shabo ishisuma no kuyilangisha, nangula balatila ati ba bembu no tunwa twabo.
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neutral
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Kabiji kechi mwafwainwa kwita muntu nangwa umo pano pa ntanda amba tata ne, mambo kwi anweba kujitu Shenu umo, yenka uji mwiulu.
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neutral
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na muntu i mutungilwe kususu-
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neutral
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Kandi na uukwamuhoko ngaashi tashi popiwa."
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disgust
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Nangwa kya kuba manna afumanga kwi Lesa, kechi alengelanga muntu kwikala na bumi bwa myaka ne myaka ne.
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disgust
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- Elyo babili pali abo baMalaika baile kuli Loti mu musumba wa Sodomu.
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disgust
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Lesa aleshiba fyonse
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neutral
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Abantu ne nama bakwata umupashi umo wine, nangu amaka ya mweo, mukati muli fyene.
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neutral
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"Mbweenga Mwasebensesha Buloshuwa ya - Amukutike Kuli Lesa": (Mami.
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neutral
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Isonde likesulamo abana ba kwa Adamu, kabili bakaba ne nsansa ilyo bakalasakamana ifya mweo ifyalekanalekana.
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joy
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Lelo inshita shimo naleyipusha nga ca kuti e ko aba."
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surprise
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Mupangi uyukile byobya byotusakilwa pa kwikala na nsangaji.
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neutral
|
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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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Size of downloaded dataset files:
6.95 MB
Size of the auto-converted Parquet files:
6.95 MB
Number of rows:
167,196