michsethowusu's picture
Initial commit: balanced multilingual emotion dataset
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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 text
  • emotion: 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