---
language:
- tw  # Twi
- ee  # Ewe
- gaa # Ga
license: cc-by-nc-4.0
task_categories:
- question-answering
tags:
- ghana
- african-languages
- multilingual
- qa
- news
---
# Ghana-QA: Ghanaian Question-Answer Pairs Dataset

## Dataset Summary

The Ghana-QA dataset consists of question-answer pairs derived from Ghanaian news articles. It contains questions in three widely spoken Ghanaian languages and their corresponding answers.

- **Total QA Pairs**: 3,547,660
- **Languages**: Twi, Ewe, Ga
- **Source**: Ghanaian news articles
- **Project**: Part of the GhanaNLP initiative

## Data Fields

- `question`: The question text
- `answer`: The corresponding answer text
- `lang`: Language code (twi/ewe/ga)

## How to Use

The dataset is provided as a single CSV file with all languages combined and shuffled.

```python
import pandas as pd

# Load the dataset
df = pd.read_csv("dataset.csv")

# View sample data
print(df.head())
print(f"Total QA pairs: {len(df)}")

# Filter by language
twi_qa = df[df['lang'] == 'twi']
ewe_qa = df[df['lang'] == 'ewe']
ga_qa = df[df['lang'] == 'ga']

print(f"Twi QA pairs: {len(twi_qa)}")
print(f"Ewe QA pairs: {len(ewe_qa)}")
print(f"Ga QA pairs: {len(ga_qa)}")
```

### Loading with Hugging Face Datasets

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("ghananlpcommunity/ghana-qa")

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

# Filter by language
twi_data = dataset['train'].filter(lambda x: x['lang'] == 'twi')
```

## Language Distribution

The dataset includes questions and answers in three Ghanaian languages:

- **Twi (twi)**: Akan language spoken in Ghana
- **Ewe (ewe)**: Niger-Congo language spoken in Ghana and Togo
- **Ga (ga)**: Kwa language spoken primarily in the Greater Accra Region

## Dataset Creation

This dataset was created by extracting question-answer pairs from Ghanaian news articles, providing a valuable resource for:

- Question-answering model training
- Multilingual NLP research
- Low-resource language model development
- Cross-lingual transfer learning

## Citation Information

If you use this dataset, please cite:

```bibtex
@dataset{Ghana-QA_2025,
  title = {Ghana-QA: Ghanaian Question-Answer Pairs},
  author = {Mich-Seth Owusu and Priscilla Lartey and Gerhardt Datsomor},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/ghananlpcommunity/ghana-qa}
}
```

## License

This dataset is licensed under **CC-BY-NC-4.0** (Creative Commons Attribution-NonCommercial 4.0 International).

## Acknowledgments

Special thanks to the primary contributors of the Ghana-QA project: **Mich-Seth Owusu**, **Priscilla Lartey**, **Gerhardt Datsomor**, and all other volunteers from the **GhanaNLP community**. This work is part of the GhanaNLP initiative to advance natural language processing for Ghanaian languages.

## Contact

For questions or feedback, please reach out through the GhanaNLP community channels or open an issue in the dataset repository.