Africa Emotion Datasets
Collection
The collection contains emotion-labeled text data for 42 African languages • 45 items • Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Fon
Size:
10K - 100K
License:
Fon stringlengths 10 211 | emotion stringclasses 7 values |
|---|---|
Le Livre bleu, | neutral |
Kpɔ lé àzan ao Bibla do keŋ akpɔ Mawu Nyɔ kpukpuiwo. | neutral |
Ani Mɛi ni Egboi lɛ Yahiɔ He Ko? | anger |
Mɛ é wa mɔ de mɔnɔ nɔ fyéé, yi | fear |
Mɛni kɔkɔ bɔmi bɔfohi enyɔ ɔmɛ kɛ ha Lot? | fear |
Mɛni he je nɛ suɔmi nɛ ngɛ Mawu kɛ e Bi ɔ a kpɛti ɔ mi wa wawɛɛ ɔ? | disgust |
jié luó bō jié luó bō wèi yī hē pó pó, | neutral |
Ee zɛkpá bo bú lɛ é, | anger |
Ye yí wɛn ɔ, ye sixu gán; | neutral |
Mawu kpl'ɛ sín ablu mɛ, | disgust |
Mawu de Noa ke e kpɛ lɛ ɔ bɔnɛ nyu be nyɛe maa sɛ mi. | neutral |
Mɛɛ gbɛ nɔ Lot ŋa lɛ sane lɛ ji kɔkɔbɔɔ kɛhã wɔ ŋmɛnɛ? | disgust |
Se mɛni heje nɛ Yosef kɛ Maria lɛɛ a be hiɛ ɔ? | neutral |
Mɛdídá sín hwe wɛ ná cí! | disgust |
ni komɛ hu beɔ, se wa kpa we. | joy |
Mi ni gbí dɔn ganji, ajɔ mitɔn sɛkpɔ. | neutral |
Wa keɔ Mawu ní kɛ tsɔɔ kaa wa suɔ lɛ. | sadness |
Mawu de ke: 'Nyɛɛ ba ye ngɔ. | disgust |
La Kpaakpo lɛ Tamɔ Gehena, ni Ji Hinom Jɔɔ lɛ Nɔŋŋ | anger |
E ji sane kpakpa nɛ ngɛ Baiblo mi; | neutral |
Lɔɔ he ɔ, i muɔɔ mɛ, nɛ i ba pu mɛ ngɛ ye bo tsu ɔ mi.' | joy |
Duzu ati a ɛ nye die kɛ Nyamenle duma la ɛ nwo zo na ɛkulo kɛ ɛka mɔɔ ɔkile la anwo edwɛkɛ ɛkile awie mɔ ɛ? | anger |
Bɛye Nyamenle ɛlɔlɛ nee ye gyima mgbole ne mɔ ayɛlɛ | joy |
Ke Mawu ko ngɛ nɛ e ngɛ he wami pe nɔ tsuaa nɔ ɔ, mɛni he je nɛ e nyɛ we nɛ e bu nimli kpakpahi a he konɛ haomi nɛ ko ba a nɔ ɔ? | anger |
Mɛtɛnkpɔn lɛ wá ɔ, | neutral |
Suzu mɔɔ sɛkɛlɛneɛ adenle zo nɔma mɔɔ wɔ Baebolo ne anu abo kile la neazo bie mɔ anwo, na kpondɛ kɛzi bɛle ngakyile bɛfi nɔma nwo mgbondabulɛ nwo la. | neutral |
Kɛmaje Mɔ Ko Kɛmaje Mɔ Ko Bi Kpakpa, kɛ Bi Fɔŋ | neutral |
naa mà konɔ kan ma yo panla gbɔn we!" | anger |
Yɛnŋɛlɛ lì dunruya ŋa wi fyɔnwɔ fɛnnɛ pe wɔ, | disgust |
Mɛnɔ ji bimwɔyo nɛ ngɛ foni ɔ mi ɔ, nɛ mɛnɔ nine nguɛ he e pɛtɛ ɔ? | joy |
Káád sé ésuud mɛ nzɔm.' | neutral |
Ebuɔ amɛ fɛɛ jalɔi, | neutral |
Mɛɛ gbɛ nɔ asafoi baanyɛ awo mɛi ni egbɔlɔ ni yɔɔ amɛteŋ lɛ ahiɛ nyam? | disgust |
na tɛgɛ wi na, | neutral |
Na ka nli ngba ɔsu ni, amii lɛnɔ bɛdubulie ngba. | neutral |
Se gbi ɔ de lɛ ke: 'Moo jɔɔ níhi nɛ Mawu tsu he ɔ tsɛmi ke a he tsɔ we.' | neutral |
Mɛɛ tsɔsemɔ krɛdɛɛ ato he gbɛjianɔ ahã mɛi ni kɛ amɛbe fɛɛ shiɛɔ Maŋtsɛyeli lɛ he sane lɛ? | neutral |
Ni komɛ ke Mawu ngɛ siɔɔ, | neutral |
"Enɛ ɔ he tutuutu nɛ Mawu Bi ɔ ba a nɛ, konɛ níhi nɛ Abosiami tsu ɔ, e ba kpata lɛ tsuo hɛ mi." | neutral |
K'ayi la n'igwé n'ikpe-azu, | neutral |
Kɛì Nyɔŋmɔ yeɔ je lɛ nɔ lɛ, mɛni hewɔ amanehulu yɔɔ mli lɛ? | disgust |
Ha nɛ waa hyɛ bɔnɛ Mawu pee enɛ ɔ ha. | neutral |
Mɛɛ gbɛ nɔ Mose tsɔ ejie hemɔkɛyeli kɛ ekãa kpo? | neutral |
Putin il é bo ! | anger |
Nyɔnuví ɔ ba tawun bo na d'alɔ ɛ. | disgust |
itèdzú ɔdzɔ bíbí | neutral |
Mɛni heje nɛ ní yayamihi ngɛ nɔ yae ngɛ je ɔ mi wawɛɛ amlɔ nɛ ɔ pe be ko nɛ be ɔ? | fear |
Xógbe tɔn lɛ gblewu mì tawun. | sadness |
Jije hiɔwe kɛ zugba a je kɛ ba? | neutral |
Dieu est Révélation. | neutral |
Ye na kpé nukún dó ayikúngban ɔ kpo kanlin lɛ kpo wu. | anger |
hɔ ba gɔnnɛ faire du bien | neutral |
Chɛɛ Fa Yataa, an mbe daun fenɛ chɛndɛ chɛndɛ be wo ma, a ka banda bu ɔ. | neutral |
Mɔka aalɔ banama gi bɛlɔ mɛ ɛ. | neutral |
wlɛnwín e ye nɔ zán lɛ é mɛ? | neutral |
Sanngɛ Salomɔn wa jali nvle uflɛ nun bla kpanngban mɔ be sɔ amuin'n. | neutral |
Nɛ ni komɛ hu heɔ yeɔ kaa adesahi tsuo sɔ ngɛ Mawu hɛ mi. | fear |
Mɛni ji Mawu Matsɛ Yemi ɔ, nɛ mɛnɔ ji e nya Matsɛ? | surprise |
konaa Yɛnŋɛlɛ làa Yinnɛkpoyi yɔn fɔlɔ na kɔn, | neutral |
Mawu nɔ yemi ɔ ma kpata je ɔ mi nɔ yemihi tsuo a hɛ mi. | neutral |
Mɛni hewɔ mɔ ko bɛ gbonyo bu lɛ mli lɛ? | neutral |
Ejaakɛ nibii fɛɛ ni nakai mɔ lɛ feɔ lɛ, nomɛi nɔŋŋ Bi lɛ hu feɔ. | anger |
Menli nwunle daselɛ mɔɔ kile kɛ Nyamenle ɛlɛyila Nowa ɛdeɛ, noko bɛgolole ɔ nwo na bɛandie ye edwɛkɛ | neutral |
Benɛ Satan ka Yesu ɔ, anɛ e ngɔ lɛ kɛ ya sɔlemi we ɔ nitsɛnitsɛ, aloo e je sɔlemi we ɔ kɛ tsɔɔ lɛ ngɛ nina mi? | neutral |
Namɔ ji awula ni yɔɔ mfoniri lɛ mli lɛ, ni mɛni gbekɛ yoo fioo lɛ feɔ yɛ awula lɛ shia? | neutral |
Uwien baba ŋa ñí la, ŋmɛ li fre kí fère binib biʼbiɛre?" | neutral |
Mɛɛ gbɛ nɔ wɔbaanyɛ wɔná Noa sane lɛ he sɛɛ ŋmɛnɛ? | neutral |
Mɛni hewɔ Mose bi Nyɔŋmɔ gbɛi be mli ni ele gbɛi lɛ momo lɛ? | neutral |
Nɔ inɔ ku fɔi í jɛ ti tenku, | sadness |
Hii anɔkwafoi nyiɛ maŋbii lɛ ahiɛ | surprise |
Kɛmaje Mɔ Ko Kɛmaje Mɔ Ko Ato Wɔhe Gbɛjianɔ Koni Wɔsɔmɔ 'Toiŋjɔlɛ Nyɔŋmɔ Lɛ' | disgust |
Mɛnɔ ji Mawu Matsɛ Yemi ɔ nya matsɛ, nɛ mɛni Matsɛ Yemi ɔ ma tsu? | neutral |
Un sixu kpé nukún dó lanmɛ ce wu ganji gbɔn . . . | sadness |
Nɛ ɛnɛ lɛma de dedemɔ ha tɛ mbwa ha ngimɔ ka sila ɛnɛ ngoya. | neutral |
Yɛnŋɛlɛ li lasiri wi yɛn kpoyi, | sadness |
Sane bimihi: Kɛ bɔfohi plɛ kɛ fia Yesu fɔmi ɔ he adafi ha kɛɛ? | surprise |
Só lɛ, xù kpo hwesivɔ kpo; | neutral |
Mawu Matsɛ Yemi ɔ, aloo e nɔ yemi ɔ maa hi hiɔwe kɛ ye zugba a tsuo nɔ. | disgust |
Kɛ o ma plɛ kɛ le kaa Mawu ha mo hiɔwe he hɛ nɔ kami loo zugba a nɔ hɛ nɔ kami ha kɛɛ? | fear |
Mɛɛ gbɛ nɔ nɔ ni yɔɔ Kristofonyo ko tsui mli lɛ baanyɛ aye lɛ awui? | neutral |
?Ngue like yɛlɛ nga ɔ blabla waka'n wun desɛn'n su lɛ'n? ?Yɛ ngue ti yɛ Zoova seli Moizi kɛ ɔ fa sie i lɛ ɔ? | neutral |
Ni bɔfoi lɛ ha amɛ hetoo akɛ: 'Esa akɛ wɔboɔ Nyɔŋmɔ moŋ toi akɛ nɔyelɔ fe gbɔmɛi.' | disgust |
Mɛni blɔ nɔ o maa gu kɛ ná sɛ gbi nɛ Mawu kɛ ha adesahi, nɛ ngɛ Baiblo ɔ mi ɔ amlɔ nɛ ɔ kɛ hwɔɔ se ɔ he se? | neutral |
Peter jɛ huzuhuzu jí. | neutral |
Sa tɛ kun o lɛ'n, e tɔ nun ndɛndɛ kpa, | neutral |
Mɛɛ nibii komɛi baanyɛ awa bo ni okane nɔ ni aŋma lɛ pɛpɛɛpɛ ni eje kpo? | neutral |
Biblu'n nun ndɛ: Moizi nin Aarɔn be o Faraɔn lɔ - Zoova i lalofuɛ'm be ɛntɛnɛti adrɛsi nga sran ngba si i'n | neutral |
Anɛ o Mawu ɔ nɛ o sɔmɔɔ lɛ ɔ kpɔ mo kɛ je jata amɛ a dɛ mi lo?' | fear |
Azɔn nukɔntɔn e un mɔ laglasi linfin é nɛ. | disgust |
Ni komɛ heɔ yeɔ kaa Mawu jɔɔ nihi pɔtɛɛ komɛ aloo e gbiɛ nihi pɔtɛɛ komɛ. | neutral |
shí ài ài qí jiāng bà xī ,jié yōu lán ér yán zhù ; | disgust |
Zinkpo tɔn jinjɔn hwɛjijɔ jí, | neutral |
Fã nɛ ji What's New ɔ ma ha nɛ o na ní hehi nɛ a kɛ wo nɔ ngɛ gbi nɛ o hla a mi. | neutral |
Atsɔ hɛ gobɛ alã alɔ sueawo, | neutral |
Enɛ ha Farao, ni ji Mizraim maŋtsɛ lɛ mli fu. | neutral |
A na mɔ lee gbɛzán Jezu tɔn kpo kú tɔn kpo sixu hɛn lè wá nú we gbɔn é. | neutral |
Il a regardé: E mɔ nyɛ kpɔ ɛ | surprise |
Nyamenle lɛ amodinli dɔɔnwo, mɔɔ Tumivolɛ Bedevinli, Bɔvolɛ nee Awulae boka nwo a. | neutral |
Ne ɔ tɔgɛ sa ɔmɔ yɛɛ, | neutral |
Nùkplɔnmɛ elɔ lɛ sixu d'alɔ hwi lɔ. | neutral |
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Fon Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Fon 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: 34,915
- Joy: 3116 (8.9%)
- Sadness: 2218 (6.4%)
- Anger: 2801 (8.0%)
- Fear: 2005 (5.7%)
- Surprise: 2485 (7.1%)
- Disgust: 3113 (8.9%)
- Neutral: 19177 (54.9%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Fon
- 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/fon-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{fon_emotions_corpus,
title={Fon Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/fon-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:
1.32 MB
Size of the auto-converted Parquet files:
1.32 MB
Number of rows:
34,915