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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- twi |
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tags: |
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- emotion |
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- african-languages |
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- nlp |
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- text-classification |
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size_categories: |
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- 100K<n<1M |
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--- |
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>This dataset is made available because of Ghana NLP's volunteer driven research work. Please consider contributing to any of our projects on [Github](https://github.com/GhanaNLP/) |
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# Twi Emotion Analysis Corpus |
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## Dataset Description |
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This dataset contains emotion-labeled text data in Twi 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. |
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## Dataset Statistics |
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- **Total samples**: 432,649 |
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- **Joy**: 39440 (9.1%) |
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- **Sadness**: 29291 (6.8%) |
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- **Anger**: 31187 (7.2%) |
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- **Fear**: 20131 (4.7%) |
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- **Surprise**: 31777 (7.3%) |
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- **Disgust**: 34705 (8.0%) |
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- **Neutral**: 246118 (56.9%) |
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## Dataset Structure |
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### Data Fields |
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- **Text Column**: Contains the original text in Twi |
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- **emotion**: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral) |
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### Data Splits |
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This dataset contains a single split with all the processed data. |
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## Data Processing |
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The emotion labels were generated using: |
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- Model: `j-hartmann/emotion-english-distilroberta-base` |
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- Processing: Batch processing with optimization for efficiency |
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- Deduplication: Duplicate entries were removed based on text content |
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## Usage |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("michsethowusu/twi-emotions-corpus") |
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# Access the data |
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print(dataset['train'][0]) |
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``` |
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## Citation |
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If you use this dataset in your research, please cite: |
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```bibtex |
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@dataset{twi_emotions_corpus, |
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title={Twi Emotions Corpus}, |
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author={Mich-Seth Owusu}, |
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year={2025}, |
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url={https://huggingface.co/datasets/michsethowusu/twi-emotions-corpus} |
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} |
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``` |
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## License |
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This dataset is released under the MIT License. |
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## Contact |
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For questions or issues regarding this dataset, please open an issue on the dataset repository. |
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## Dataset Creation |
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**Date**: 2025-07-04 |
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**Processing Pipeline**: Automated emotion analysis using HuggingFace Transformers |
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**Quality Control**: Deduplication and batch processing optimizations applied |
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