michsethowusu/malagasy-emotions-corpus

Malagasy Emotion Analysis Corpus

Dataset Description

This dataset contains emotion-labeled text data in Malagasy 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: 1,338,706
• Joy: 116087 (8.7%)
• Sadness: 77081 (5.8%)
• Anger: 76028 (5.7%)
• Fear: 55481 (4.1%)
• Surprise: 65794 (4.9%)
• Disgust: 100775 (7.5%)
• Neutral: 847460 (63.3%)

Dataset Structure

Data Fields

• Text Column: Contains the original text in Malagasy
• 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/malagasy-emotions-corpus")

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

Citation

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

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