---
license: cc-by-nc-4.0
language:
- sw
---

# Inkuba-Mono: Swahili Subset

This is the **Swahili** subset of the [Inkuba-Mono dataset](https://huggingface.co/datasets/lelapa/Inkuba-Mono), originally collected by [Lelapa AI](https://lelapa.ai/) – Fundamental Research Team. It includes **only** the Swahili text portion extracted from Inkuba-Mono. The data is released under the **CC BY-NC 4.0** license.

## Dataset Details

### Dataset Description
- **Collected by:** [Lelapa AI](https://lelapa.ai/) - Fundamental Research Team  
- **Shared by:** [Lelapa AI](https://lelapa.ai/)  
- **Languages (NLP):** Swahili (this subset only)  
- **License:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)  

The Inkuba-Mono corpus was originally created for training **InkubaLM**, a small language model focusing on multiple African languages: isiZulu, Yoruba, Swahili, isiXhosa, and Hausa. You can find details about the full Inkuba-Mono dataset in the [Inkuba-Mono repository](https://huggingface.co/datasets/lelapa/Inkuba-Mono) and in the associated [InkubaLM paper](https://arxiv.org/pdf/2408.17024).

### Dataset Sources
The **original** Inkuba-Mono corpus was compiled from public repositories including:
- [Hugging Face](https://huggingface.co/datasets)
- [GitHub](https://github.com/)
- [Zenodo](https://zenodo.org/)

### Swahili Statistics (from Inkuba-Mono)
- **Number of sentences (in Millions):** 58M  
- **Number of tokens:** ~1B  

> **Note**: This standalone dataset contains **only** the Swahili portion.

## Uses
You can use this Swahili subset for:
- Training or fine-tuning language models for Swahili.
- Developing Swahili NLP applications such as text classification, language modeling, or translation systems.
- Any research or educational purpose that requires monolingual Swahili data.

## How to Use

```python
from datasets import load_dataset

# Example: loading this Swahili subset from Hugging Face
data = load_dataset("Alfaxad/Inkuba-Mono-Swahili")
```



## 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}
}
```