license: mit
task_categories:
- text-classification
language:
- tso
tags:
- emotion
- african-languages
- nlp
- text-classification
size_categories:
- 100K<n<1M
Tsonga Emotion Analysis Corpus
Dataset Description
This dataset contains emotion-labeled text data in Tsonga 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: 255,067
- Joy: 24545 (9.6%)
- Sadness: 16964 (6.7%)
- Anger: 15509 (6.1%)
- Fear: 12104 (4.7%)
- Surprise: 13926 (5.5%)
- Disgust: 21185 (8.3%)
- Neutral: 150834 (59.1%)
Dataset Structure
Data Fields
- Text Column: Contains the original text in Tsonga
- 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/tsonga-emotions-corpus")
# Access the data
print(dataset['train'][0])
Citation
If you use this dataset in your research, please cite:
@dataset{tsonga_emotions_corpus,
title={Tsonga Emotions Corpus},
author={Mich-Seth Owusu},
year={2025},
url={https://huggingface.co/datasets/michsethowusu/tsonga-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