---
language:
- sw
- xh
- zu
- ha
- yo
---

# Dataset Card for Inkuba-Mono dataset

## Dataset Details

### Dataset Description

- **Collected by:** [Lelapa AI](https://lelapa.ai/) - Fundamental Research Team
- **Shared by:** [Lelapa AI](https://lelapa.ai/)
- **Language(s) (NLP):** isiZulu, Yoruba, Swahili, isiXhosa and Hausa
- **License:** CC BY-NC 4.0

### Dataset Sources
- We collected monolingual datasets to train our InkubaLM for 5 African languages from the following public repositories.
    - [**Hugging Face**](https://huggingface.co/datasets)
    - [**Github**](https://github.com/)
    - [**Zenodo**](https://zenodo.org/)
- **Paper:** [InkubaLM](https://arxiv.org/pdf/2408.17024) 
#### Dataset statistics

| Language     | Number of sentences(in Million) | Token|
|-----|--------|----|
| Hausa         |12 | 359 M |
| Yoruba       | 2    |77 M |
| Swahili       | 58    | 1B|
| isiZulu       | 10    | 207M|
| isiXhosa       | 4    | 79M|
## Uses

- This dataset can be utilized to train language models and perform other tasks that require monolingual datasets.

### How to Use
``` python 
from datasets import load_dataset
```

``` python 
data = load_dataset("lelapa/Inkuba-Mono", "yor")

``` 



## Citation

```
@article{tonja2024inkubalm,
  title={InkubaLM: A small language model for low-resource African languages},
  author={Tonja, Atnafu Lambebo and Dossou, Bonaventure FP and Ojo, Jessica and Rajab, Jenalea and Thior, Fadel and Wairagala, Eric Peter and Anuoluwapo, Aremu and Moiloa, Pelonomi and Abbott, Jade and Marivate, Vukosi and others},
  journal={arXiv preprint arXiv:2408.17024},
  year={2024}
}
```

## Dataset Card Authors 

[Lelapa AI](https://lelapa.ai/) - Fundamental Research Team

## Dataset Card Contact

[Lelapa AI](https://lelapa.ai/)