Initial commit: balanced multilingual emotion dataset

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README.md

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+# 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

data.csv

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+size 487621557