README.md

---
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

```python
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:

```bibtex
@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