---
language:
- en
- nus
- din
license: cc-by-nc-4.0
task_categories:
- translation
- text-generation
tags:
- machine-translation
- low-resource
- multilingual
- english
- nuer
- dinka
- africa
- language-preservation
pretty_name: English–Nuer–Dinka Parallel Corpus
---

# English–Nuer–Dinka Parallel Corpus

## Overview

The English–Nuer–Dinka Parallel Corpus is a multilingual parallel dataset created to support research on low-resource African languages. The corpus contains aligned text in English, Nuer, and Dinka for use in Natural Language Processing (NLP), Machine Translation (MT), multilingual language modeling, and language preservation.

The primary goal of this project is to increase the digital presence of Nuer and Dinka while enabling researchers to build better language technologies for these underrepresented languages.

---

## Languages

- English (en)
- Nuer (nus)
- Dinka (din)

---

## Intended Uses

This dataset is intended for:

- Academic research
- Educational purposes
- Machine Translation
- Multilingual NLP
- Large Language Model (LLM) research
- Language documentation
- Linguistic analysis
- Benchmarking low-resource language models

---

## Not Intended For

This dataset may **not** be used for:

- Commercial AI products
- Commercial translation services
- Paid APIs
- Proprietary language models
- SaaS products
- Selling or redistributing the dataset commercially

Commercial use requires prior written permission from the dataset author.

---

# License

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

You are free to:

- Share
- Copy
- Redistribute
- Adapt
- Modify

under the following conditions:

- You must provide appropriate attribution.
- You may not use this dataset for commercial purposes.
- You should cite this dataset in any published research.

License:
https://creativecommons.org/licenses/by-nc/4.0/

---

# Citation

If you use this dataset in your research, please cite:

```bibtex
@dataset{tajnaam2026englishnuerdinka,
  author = {Tajnaam},
  title = {English–Nuer–Dinka Parallel Corpus},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Tajnaam/english-nuer-dinka-parallel-corpus}
}
```

---

# Attribution

If you publish research using this dataset, please cite the dataset and acknowledge the author.

---

# Disclaimer

This dataset is provided "as is" without warranty of any kind. The author is not responsible for any misuse of the dataset.

---

# Contact

For questions, collaborations, or commercial licensing, please contact the dataset author through the Hugging Face repository.