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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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- amh |
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tags: |
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- sentiment |
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- african-languages |
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- nlp |
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- text-classification |
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- binary-classification |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Amharic Sentiment Corpus |
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## Dataset Description |
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This dataset contains sentiment-labeled text data in Amharic for binary sentiment classification (Positive/Negative). Sentiments are extracted and processed from the English meanings of the sentences using DistilBERT for sentiment classification. The dataset is part of a larger collection of African language sentiment analysis resources. |
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## Dataset Statistics |
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- **Total samples**: 1,199,999 |
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- **Positive sentiment**: 667555 (55.6%) |
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- **Negative sentiment**: 532444 (44.4%) |
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## Dataset Structure |
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### Data Fields |
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- **Text Column**: Contains the original text in Amharic |
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- **sentiment**: Sentiment label (Positive or Negative only) |
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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 sentiment labels were generated using: |
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- Model: `distilbert-base-uncased-finetuned-sst-2-english` |
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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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- **Filtering**: Only Positive and Negative sentiments retained for binary classification |
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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/amharic-sentiments-corpus") |
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# Access the data |
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print(dataset['train'][0]) |
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# Check sentiment distribution |
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from collections import Counter |
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sentiments = [item['sentiment'] for item in dataset['train']] |
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print(Counter(sentiments)) |
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``` |
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## Use Cases |
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This dataset is ideal for: |
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- Binary sentiment classification tasks |
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- Training sentiment analysis models for Amharic |
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- Cross-lingual sentiment analysis research |
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- African language NLP model development |
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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{amharic_sentiments_corpus, |
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title={Amharic Sentiment 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/amharic-sentiments-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**: 2025-07-02 |
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**Processing Pipeline**: Automated sentiment analysis using HuggingFace Transformers |
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**Quality Control**: Deduplication, batch processing optimizations, and binary sentiment filtering applied |
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