| --- |
| language: |
| - en |
| - nus |
|
|
| license: cc-by-nc-sa-4.0 |
|
|
| task_categories: |
| - translation |
| - text-generation |
|
|
| tags: |
| - machine-translation |
| - parallel-corpus |
| - multilingual |
| - english |
| - nuer |
| - thok-naath |
| - low-resource |
| - african-languages |
| - language-preservation |
| - llm |
| - neural-machine-translation |
|
|
| pretty_name: English–Nuer Sentence Pairs (1M) |
| --- |
| |
| # English–Nuer Sentence Pairs (1M) |
|
|
| ## Overview |
|
|
| **English–Nuer Sentence Pairs (1M)** is a large-scale bilingual parallel corpus containing approximately **1 million aligned English and Nuer (Thok Naath) sentence pairs**. |
|
|
| The dataset is designed to support research in machine translation, multilingual Natural Language Processing (NLP), cross-lingual representation learning, and the development of language technologies for low-resource African languages. |
|
|
| In addition to advancing NLP research, this project contributes to the digital preservation and accessibility of the Nuer (Thok Naath) language. |
|
|
| --- |
|
|
| # Languages |
|
|
| - English (`en`) |
| - Nuer / Thok Naath (`nus`) |
|
|
| --- |
|
|
| # Dataset Description |
|
|
| The dataset contains approximately **1,000,000 aligned sentence pairs** suitable for supervised machine learning tasks. |
|
|
| Typical applications include: |
|
|
| - Neural Machine Translation (NMT) |
| - Large Language Model (LLM) pretraining and fine-tuning (research only) |
| - Cross-lingual representation learning |
| - Sentence embedding models |
| - Parallel corpus research |
| - Multilingual NLP |
| - Linguistic analysis |
| - Low-resource language research |
|
|
| Each record contains one English sentence and its corresponding Nuer translation. |
|
|
| --- |
|
|
| # Intended Uses |
|
|
| This dataset is intended for: |
|
|
| - Academic research |
| - Educational purposes |
| - Machine Translation research |
| - Multilingual NLP |
| - Large Language Model research |
| - Cross-lingual learning |
| - Benchmark evaluation |
| - Language preservation |
| - Linguistic studies |
|
|
| --- |
|
|
| # Restrictions on Use |
|
|
| This dataset is released **for research and educational purposes only**. |
|
|
| Commercial use is **strictly prohibited** without prior written permission from the dataset author. |
|
|
| Examples of prohibited commercial uses include: |
|
|
| - Training commercial AI or LLMs |
| - Commercial translation systems |
| - Paid APIs |
| - SaaS products |
| - Proprietary AI services |
| - Selling or redistributing the dataset |
| - Incorporating the dataset into commercial software or products |
|
|
| Organizations interested in commercial use should contact the author to obtain a separate commercial license. |
|
|
| --- |
|
|
| # License |
|
|
| This dataset is licensed under the **Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0)**. |
|
|
| You are free to: |
|
|
| - Share |
| - Copy |
| - Redistribute |
| - Adapt |
| - Modify |
|
|
| Under the following conditions: |
|
|
| - Appropriate attribution must be provided. |
| - Commercial use is prohibited. |
| - Derivative works must be distributed under the same license. |
|
|
| License: |
| https://creativecommons.org/licenses/by-nc-sa/4.0/ |
|
|
| --- |
|
|
| # Citation |
|
|
| If you use this dataset in research, please cite: |
|
|
| ```bibtex |
| @dataset{tajnaam2026english_nuer_1m, |
| author = {Tajnaam}, |
| title = {English–Nuer Sentence Pairs (1M)}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/Tajnaam/english_nuer_sentence-pairs_1M} |
| } |
| ``` |
|
|
| --- |
|
|
| # Acknowledgements |
|
|
| This dataset was created to support the preservation of the Nuer (Thok Naath) language and to encourage research on low-resource African languages. |
|
|
| Researchers, educators, and students are welcome to use the dataset under the terms of the license. |
|
|
| --- |
|
|
| # Ethical Considerations |
|
|
| Users are encouraged to use this dataset responsibly and respectfully toward the Nuer-speaking community. |
|
|
| Please report any translation errors or cultural issues by opening an issue on the Hugging Face repository. |
|
|
| --- |
|
|
| # Disclaimer |
|
|
| This dataset is provided "as is" without warranty of any kind. While every effort has been made to ensure quality, the author assumes no responsibility for errors, omissions, or misuse of the dataset. |
|
|
| --- |
|
|
| # Contact |
|
|
| For questions, collaborations, corrections, or commercial licensing inquiries, please contact the author through the Hugging Face repository. |
