This dataset contains emotion-labeled text data in Ewe 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.

Dataset Statistics

Total samples: 337,488
Joy: 31460 (9.3%)
Sadness: 22314 (6.6%)
Anger: 23972 (7.1%)
Fear: 16618 (4.9%)
Surprise: 20055 (5.9%)
Disgust: 28804 (8.5%)
Neutral: 194265 (57.6%)

Dataset Structure

Data Fields

Text Column: Contains the original text in Ewe
emotion: Emotion label (joy, sadness, anger, fear, surprise, disgust, neutral)

Data Splits

This dataset contains a single split with all the processed data.

Data Processing

The emotion labels were generated using:

Model: j-hartmann/emotion-english-distilroberta-base
Processing: Batch processing with optimization for efficiency
Deduplication: Duplicate entries were removed based on text content

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("michsethowusu/ewe-emotions-corpus")

# Access the data
print(dataset['train'][0])

Citation

If you use this dataset in your research, please cite:

@dataset{ewe_emotions_corpus,
  title={Ewe Emotions Corpus},
  author={Mich-Seth Owusu},
  year={2025},
  url={https://huggingface.co/datasets/michsethowusu/ewe-emotions-corpus}
}

License

This dataset is released under the MIT License.

Contact

For questions or issues regarding this dataset, please open an issue on the dataset repository.

Dataset Creation

Date: 2025-07-04 Processing Pipeline: Automated emotion analysis using HuggingFace Transformers Quality Control: Deduplication and batch processing optimizations applied

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