| | --- |
| | license: mit |
| | task_categories: |
| | - text-classification |
| | language: |
| | - kon |
| | tags: |
| | - sentiment |
| | - african-languages |
| | - nlp |
| | - text-classification |
| | - binary-classification |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | |
| | # Kongo Sentiment Corpus |
| |
|
| | ## Dataset Description |
| |
|
| | This dataset contains sentiment-labeled text data in Kongo 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. |
| |
|
| | ## Dataset Statistics |
| |
|
| | - **Total samples**: 141,532 |
| | - **Positive sentiment**: 86025 (60.8%) |
| | - **Negative sentiment**: 55507 (39.2%) |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Fields |
| |
|
| | - **Text Column**: Contains the original text in Kongo |
| | - **sentiment**: Sentiment label (Positive or Negative only) |
| |
|
| | ### Data Splits |
| |
|
| | This dataset contains a single split with all the processed data. |
| |
|
| | ## Data Processing |
| |
|
| | The sentiment labels were generated using: |
| | - Model: `distilbert-base-uncased-finetuned-sst-2-english` |
| | - Processing: Batch processing with optimization for efficiency |
| | - Deduplication: Duplicate entries were removed based on text content |
| | - **Filtering**: Only Positive and Negative sentiments retained for binary classification |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load the dataset |
| | dataset = load_dataset("michsethowusu/kongo-sentiments-corpus") |
| | |
| | # Access the data |
| | print(dataset['train'][0]) |
| | |
| | # Check sentiment distribution |
| | from collections import Counter |
| | sentiments = [item['sentiment'] for item in dataset['train']] |
| | print(Counter(sentiments)) |
| | ``` |
| |
|
| | ## Use Cases |
| |
|
| | This dataset is ideal for: |
| | - Binary sentiment classification tasks |
| | - Training sentiment analysis models for Kongo |
| | - Cross-lingual sentiment analysis research |
| | - African language NLP model development |
| |
|
| | ## Citation |
| |
|
| | If you use this dataset in your research, please cite: |
| |
|
| | ```bibtex |
| | @dataset{kongo_sentiments_corpus, |
| | title={Kongo Sentiment Corpus}, |
| | author={Mich-Seth Owusu}, |
| | year={2025}, |
| | url={https://huggingface.co/datasets/michsethowusu/kongo-sentiments-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**: 2025-07-02 |
| | **Processing Pipeline**: Automated sentiment analysis using HuggingFace Transformers |
| | **Quality Control**: Deduplication, batch processing optimizations, and binary sentiment filtering applied |
| |
|