michsethowusu/kabyle-emotions-corpus

Kabyle Emotion Analysis Corpus

Dataset Description

This dataset contains emotion-labeled text data in Kabyle 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: 4,887
• —Joy: 296 (6.1%)
• —Sadness: 225 (4.6%)
• —Anger: 460 (9.4%)
• —Fear: 314 (6.4%)
• —Surprise: 285 (5.8%)
• —Disgust: 538 (11.0%)
• —Neutral: 2769 (56.7%)

Dataset Structure

Data Fields

• —Text Column: Contains the original text in Kabyle
• —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/kabyle-emotions-corpus")

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

Citation

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

@dataset{kabyle_emotions_corpus,
  title={Kabyle Emotions Corpus},
  author={Mich-Seth Owusu},
  year={2025},
  url={https://huggingface.co/datasets/michsethowusu/kabyle-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