metadata
annotations_creators:
- machine-generated
language_creators:
- found
license: mit
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
source_datasets:
- original
Multilingual Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in multiple African languages for emotion classification (joy
, sadness
, anger
, fear
, surprise
, disgust
, neutral
). Emotions were inferred from the original content using a multilingual processing pipeline and balanced per language to support fairer modeling.
The dataset is part of a growing collection of African language emotion analysis resources.
Dataset Statistics
Language: afrikaans Total samples: 511287
- Anger: 73041 (14.3%)
- Disgust: 73041 (14.3%)
- Fear: 73041 (14.3%)
- Joy: 73041 (14.3%)
- Neutral: 73041 (14.3%)
- Sadness: 73041 (14.3%)
- Surprise: 73041 (14.3%) Language: akan Total samples: 1694
- Anger: 242 (14.3%)
- Disgust: 242 (14.3%)
- Fear: 242 (14.3%)
- Joy: 242 (14.3%)
- Neutral: 242 (14.3%)
- Sadness: 242 (14.3%)
- Surprise: 242 (14.3%) Language: amharic Total samples: 568750
- Anger: 81250 (14.3%)
- Disgust: 81250 (14.3%)
- Fear: 81250 (14.3%)
- Joy: 81250 (14.3%)
- Neutral: 81250 (14.3%)
- Sadness: 81250 (14.3%)
- Surprise: 81250 (14.3%) Language: bambara Total samples: 15309
- Anger: 2187 (14.3%)
- Disgust: 2187 (14.3%)
- Fear: 2187 (14.3%)
- Joy: 2187 (14.3%)
- Neutral: 2187 (14.3%)
- Sadness: 2187 (14.3%)
- Surprise: 2187 (14.3%) Language: bemba Total samples: 47985
- Anger: 6855 (14.3%)
- Disgust: 6855 (14.3%)
- Fear: 6855 (14.3%)
- Joy: 6855 (14.3%)
- Neutral: 6855 (14.3%)
- Sadness: 6855 (14.3%)
- Surprise: 6855 (14.3%) Language: chichewa Total samples: 222166
- Anger: 31738 (14.3%)
- Disgust: 31738 (14.3%)
- Fear: 31738 (14.3%)
- Joy: 31738 (14.3%)
- Neutral: 31738 (14.3%)
- Sadness: 31738 (14.3%)
- Surprise: 31738 (14.3%) Language: dinka Total samples: 9611
- Anger: 1373 (14.3%)
- Disgust: 1373 (14.3%)
- Fear: 1373 (14.3%)
- Joy: 1373 (14.3%)
- Neutral: 1373 (14.3%)
- Sadness: 1373 (14.3%)
- Surprise: 1373 (14.3%) Language: dyula Total samples: 13874
- Anger: 1982 (14.3%)
- Disgust: 1982 (14.3%)
- Fear: 1982 (14.3%)
- Joy: 1982 (14.3%)
- Neutral: 1982 (14.3%)
- Sadness: 1982 (14.3%)
- Surprise: 1982 (14.3%) Language: ewe Total samples: 116326
- Anger: 16618 (14.3%)
- Disgust: 16618 (14.3%)
- Fear: 16618 (14.3%)
- Joy: 16618 (14.3%)
- Neutral: 16618 (14.3%)
- Sadness: 16618 (14.3%)
- Surprise: 16618 (14.3%) Language: fon Total samples: 14035
- Anger: 2005 (14.3%)
- Disgust: 2005 (14.3%)
- Fear: 2005 (14.3%)
- Joy: 2005 (14.3%)
- Neutral: 2005 (14.3%)
- Sadness: 2005 (14.3%)
- Surprise: 2005 (14.3%) Language: fulah Total samples: 17955
- Anger: 2565 (14.3%)
- Disgust: 2565 (14.3%)
- Fear: 2565 (14.3%)
- Joy: 2565 (14.3%)
- Neutral: 2565 (14.3%)
- Sadness: 2565 (14.3%)
- Surprise: 2565 (14.3%) Language: ganda Total samples: 227689
- Anger: 32527 (14.3%)
- Disgust: 32527 (14.3%)
- Fear: 32527 (14.3%)
- Joy: 32527 (14.3%)
- Neutral: 32527 (14.3%)
- Sadness: 32527 (14.3%)
- Surprise: 32527 (14.3%) Language: hausa Total samples: 207732
- Anger: 29676 (14.3%)
- Disgust: 29676 (14.3%)
- Fear: 29676 (14.3%)
- Joy: 29676 (14.3%)
- Neutral: 29676 (14.3%)
- Sadness: 29676 (14.3%)
- Surprise: 29676 (14.3%) Language: igbo Total samples: 49350
- Anger: 7050 (14.3%)
- Disgust: 7050 (14.3%)
- Fear: 7050 (14.3%)
- Joy: 7050 (14.3%)
- Neutral: 7050 (14.3%)
- Sadness: 7050 (14.3%)
- Surprise: 7050 (14.3%) Language: kabiye Total samples: 5411
- Anger: 773 (14.3%)
- Disgust: 773 (14.3%)
- Fear: 773 (14.3%)
- Joy: 773 (14.3%)
- Neutral: 773 (14.3%)
- Sadness: 773 (14.3%)
- Surprise: 773 (14.3%) Language: kabuverdianu Total samples: 30072
- Anger: 4296 (14.3%)
- Disgust: 4296 (14.3%)
- Fear: 4296 (14.3%)
- Joy: 4296 (14.3%)
- Neutral: 4296 (14.3%)
- Sadness: 4296 (14.3%)
- Surprise: 4296 (14.3%) Language: kabyle Total samples: 1575
- Anger: 225 (14.3%)
- Disgust: 225 (14.3%)
- Fear: 225 (14.3%)
- Joy: 225 (14.3%)
- Neutral: 225 (14.3%)
- Sadness: 225 (14.3%)
- Surprise: 225 (14.3%) Language: kamba Total samples: 8407
- Anger: 1201 (14.3%)
- Disgust: 1201 (14.3%)
- Fear: 1201 (14.3%)
- Joy: 1201 (14.3%)
- Neutral: 1201 (14.3%)
- Sadness: 1201 (14.3%)
- Surprise: 1201 (14.3%) Language: kikuyu Total samples: 13160
- Anger: 1880 (14.3%)
- Disgust: 1880 (14.3%)
- Fear: 1880 (14.3%)
- Joy: 1880 (14.3%)
- Neutral: 1880 (14.3%)
- Sadness: 1880 (14.3%)
- Surprise: 1880 (14.3%) Language: kimbundu Total samples: 20034
- Anger: 2862 (14.3%)
- Disgust: 2862 (14.3%)
- Fear: 2862 (14.3%)
- Joy: 2862 (14.3%)
- Neutral: 2862 (14.3%)
- Sadness: 2862 (14.3%)
- Surprise: 2862 (14.3%) Language: kongo Total samples: 47894
- Anger: 6842 (14.3%)
- Disgust: 6842 (14.3%)
- Fear: 6842 (14.3%)
- Joy: 6842 (14.3%)
- Neutral: 6842 (14.3%)
- Sadness: 6842 (14.3%)
- Surprise: 6842 (14.3%) Language: lingala Total samples: 132671
- Anger: 18953 (14.3%)
- Disgust: 18953 (14.3%)
- Fear: 18953 (14.3%)
- Joy: 18953 (14.3%)
- Neutral: 18953 (14.3%)
- Sadness: 18953 (14.3%)
- Surprise: 18953 (14.3%) Language: lushai Total samples: 152495
- Anger: 21785 (14.3%)
- Disgust: 21785 (14.3%)
- Fear: 21785 (14.3%)
- Joy: 21785 (14.3%)
- Neutral: 21785 (14.3%)
- Sadness: 21785 (14.3%)
- Surprise: 21785 (14.3%) Language: malagasy Total samples: 388367
- Anger: 55481 (14.3%)
- Disgust: 55481 (14.3%)
- Fear: 55481 (14.3%)
- Joy: 55481 (14.3%)
- Neutral: 55481 (14.3%)
- Sadness: 55481 (14.3%)
- Surprise: 55481 (14.3%) Language: mossi Total samples: 38787
- Anger: 5541 (14.3%)
- Disgust: 5541 (14.3%)
- Fear: 5541 (14.3%)
- Joy: 5541 (14.3%)
- Neutral: 5541 (14.3%)
- Sadness: 5541 (14.3%)
- Surprise: 5541 (14.3%) Language: nuer Total samples: 2415
- Anger: 345 (14.3%)
- Disgust: 345 (14.3%)
- Fear: 345 (14.3%)
- Joy: 345 (14.3%)
- Neutral: 345 (14.3%)
- Sadness: 345 (14.3%)
- Surprise: 345 (14.3%) Language: oromo Total samples: 242879
- Anger: 34697 (14.3%)
- Disgust: 34697 (14.3%)
- Fear: 34697 (14.3%)
- Joy: 34697 (14.3%)
- Neutral: 34697 (14.3%)
- Sadness: 34697 (14.3%)
- Surprise: 34697 (14.3%) Language: pedi Total samples: 115255
- Anger: 16465 (14.3%)
- Disgust: 16465 (14.3%)
- Fear: 16465 (14.3%)
- Joy: 16465 (14.3%)
- Neutral: 16465 (14.3%)
- Sadness: 16465 (14.3%)
- Surprise: 16465 (14.3%) Language: rundi Total samples: 125419
- Anger: 17917 (14.3%)
- Disgust: 17917 (14.3%)
- Fear: 17917 (14.3%)
- Joy: 17917 (14.3%)
- Neutral: 17917 (14.3%)
- Sadness: 17917 (14.3%)
- Surprise: 17917 (14.3%) Language: sango Total samples: 33467
- Anger: 4781 (14.3%)
- Disgust: 4781 (14.3%)
- Fear: 4781 (14.3%)
- Joy: 4781 (14.3%)
- Neutral: 4781 (14.3%)
- Sadness: 4781 (14.3%)
- Surprise: 4781 (14.3%) Language: somali Total samples: 670327
- Anger: 95761 (14.3%)
- Disgust: 95761 (14.3%)
- Fear: 95761 (14.3%)
- Joy: 95761 (14.3%)
- Neutral: 95761 (14.3%)
- Sadness: 95761 (14.3%)
- Surprise: 95761 (14.3%) Language: swahili Total samples: 626913
- Anger: 89559 (14.3%)
- Disgust: 89559 (14.3%)
- Fear: 89559 (14.3%)
- Joy: 89559 (14.3%)
- Neutral: 89559 (14.3%)
- Sadness: 89559 (14.3%)
- Surprise: 89559 (14.3%) Language: swati Total samples: 30198
- Anger: 4314 (14.3%)
- Disgust: 4314 (14.3%)
- Fear: 4314 (14.3%)
- Joy: 4314 (14.3%)
- Neutral: 4314 (14.3%)
- Sadness: 4314 (14.3%)
- Surprise: 4314 (14.3%) Language: tamasheq Total samples: 119
- Anger: 17 (14.3%)
- Disgust: 17 (14.3%)
- Fear: 17 (14.3%)
- Joy: 17 (14.3%)
- Neutral: 17 (14.3%)
- Sadness: 17 (14.3%)
- Surprise: 17 (14.3%) Language: tsonga Total samples: 84728
- Anger: 12104 (14.3%)
- Disgust: 12104 (14.3%)
- Fear: 12104 (14.3%)
- Joy: 12104 (14.3%)
- Neutral: 12104 (14.3%)
- Sadness: 12104 (14.3%)
- Surprise: 12104 (14.3%) Language: tswana Total samples: 271264
- Anger: 38752 (14.3%)
- Disgust: 38752 (14.3%)
- Fear: 38752 (14.3%)
- Joy: 38752 (14.3%)
- Neutral: 38752 (14.3%)
- Sadness: 38752 (14.3%)
- Surprise: 38752 (14.3%) Language: tumbuka Total samples: 64869
- Anger: 9267 (14.3%)
- Disgust: 9267 (14.3%)
- Fear: 9267 (14.3%)
- Joy: 9267 (14.3%)
- Neutral: 9267 (14.3%)
- Sadness: 9267 (14.3%)
- Surprise: 9267 (14.3%) Language: twi Total samples: 140917
- Anger: 20131 (14.3%)
- Disgust: 20131 (14.3%)
- Fear: 20131 (14.3%)
- Joy: 20131 (14.3%)
- Neutral: 20131 (14.3%)
- Sadness: 20131 (14.3%)
- Surprise: 20131 (14.3%) Language: umbundu Total samples: 27608
- Anger: 3944 (14.3%)
- Disgust: 3944 (14.3%)
- Fear: 3944 (14.3%)
- Joy: 3944 (14.3%)
- Neutral: 3944 (14.3%)
- Sadness: 3944 (14.3%)
- Surprise: 3944 (14.3%) Language: wolof Total samples: 92820
- Anger: 13260 (14.3%)
- Disgust: 13260 (14.3%)
- Fear: 13260 (14.3%)
- Joy: 13260 (14.3%)
- Neutral: 13260 (14.3%)
- Sadness: 13260 (14.3%)
- Surprise: 13260 (14.3%) Language: xhosa Total samples: 536837
- Anger: 76691 (14.3%)
- Disgust: 76691 (14.3%)
- Fear: 76691 (14.3%)
- Joy: 76691 (14.3%)
- Neutral: 76691 (14.3%)
- Sadness: 76691 (14.3%)
- Surprise: 76691 (14.3%) Language: yoruba Total samples: 55223
- Anger: 7889 (14.3%)
- Disgust: 7889 (14.3%)
- Fear: 7889 (14.3%)
- Joy: 7889 (14.3%)
- Neutral: 7889 (14.3%)
- Sadness: 7889 (14.3%)
- Surprise: 7889 (14.3%) Language: zulu Total samples: 59990
- Anger: 8570 (14.3%)
- Disgust: 8570 (14.3%)
- Fear: 8570 (14.3%)
- Joy: 8570 (14.3%)
- Neutral: 8570 (14.3%)
- Sadness: 8570 (14.3%)
- Surprise: 8570 (14.3%)
Dataset Structure
Data Fields
text
: Original textemotion
: Emotion label (joy
,sadness
,anger
,fear
,surprise
,disgust
,neutral
)language
: Language code (e.g.,twi
,am
,sw
, etc.)
Data Splits
This dataset contains a single split with all the balanced data.
Data Processing
- Label Generation: Used existing datasets and automatic labeling pipelines.
- Balancing: Emotion classes were trimmed to match the smallest class per language.
- Deduplication: Removed duplicate texts.
- Language Coverage: Includes multiple African languages, including those using non-Latin scripts.
Usage
from datasets import load_dataset
dataset = load_dataset("michsethowusu/africa-emotions-balanced-multilang")
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{emotion_multilang_africa,
title={Multilingual African Emotion Corpus},
author={Your Name},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/africa-emotions-balanced-multilang}
}
License
This dataset is released under the MIT License.
Contact
For questions or issues, please open an issue on the dataset repository.
Dataset Creation
- Date: 2025-07-06
- Processing Pipeline: Automated language + emotion balancing
- Tools: Hugging Face Transformers + Pandas
- Quality Control: Deduplication and emotion balancing