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DatarrX/myanmar-Wikipedia

Myanmar Wikipedia Dataset (20260501) This dataset contains a cleaned, processed, and high-quality collection of Burmese Wikipedia articles, curated to serve as a robust foundation for Natural Language Processing (NLP) and Artificial Intelligence development in the Burmese language. πŸ›οΈ About DatarrX DatarrX (Burmese: ဒေတာထက်စ်) is a non-profit open-source foundation dedicated to building a robust digital foundation for the Burmese language in the AI era. We… See the full description on the dataset page: https://huggingface.co/datasets/DatarrX/myanmar-Wikipedia.

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Myanmar Wikipedia Dataset (20260501)

This dataset contains a cleaned, processed, and high-quality collection of Burmese Wikipedia articles, curated to serve as a robust foundation for Natural Language Processing (NLP) and Artificial Intelligence development in the Burmese language.

πŸ›οΈ About DatarrX

DatarrX (Burmese: ဒေတာထက်စ်) is a non-profit open-source foundation dedicated to building a robust digital foundation for the Burmese language in the AI era. We believe that high-quality data is the core of AI innovation. Our mission is to empower the Burmese AI ecosystem by building high-quality open-source datasets, essential AI tools, and localized technical resources.


πŸ—οΈ Dataset Creation Pipeline

This dataset was developed through a rigorous multi-stage cleaning and preparation process to ensure maximum utility for researchers and developers:

  1. 1.Data Extraction: The source material was derived from the official Burmese Wikipedia Database Dump (2026-05-01).
  2. 2.Markup Sanitization: We systematically removed MediaWiki markup, HTML tags, template artifacts ({{...}}), and internal links ([[...]]).
  3. 3.Filtering & Noise Reduction: * Applied strict Zawgyi-to-Unicode verification to ensure data consistency.
  4. 4.Removed tabular metadata, non-informative CSS/module snippets, and malformed rows.
  5. 5.Filtered out rows containing non-Burmese characters (where applicable) and low-information symbols.
  6. 6.Sentence Segmentation & Normalization: * Articles were split into individual sentences.
  7. 7.We enforced a standard Burmese full-stop (။) at the end of every sentence to ensure structural consistency.
  8. 8.Syllable Tokenization: Using mm-syllable, every sentence was segmented into its constituent Burmese syllables, providing a secondary column (syllable) for syllable-level model training.

πŸ“Š Dataset Statistics

  • β€”Total Sentences: 546,045
  • β€”Average Sentence Length: 122.98 characters
  • β€”Average Syllable Count: 39.11
  • β€”Structural Consistency: 99.90% of sentences end with the standard Burmese full-stop (။).

Data Structure

ColumnDescription
textThe clean, normalized Burmese sentence.
syllableThe same sentence segmented into syllables with spaces.

Sample Entry:

json
{
  "text": "ထကြောင်းထရာပေါင်း ခုကို ဖြင့် α€–α€α€Ία€›α€Ύα€―α€”α€­α€―α€„α€Ία€•α€«α€žα€Šα€Ία‹",
  "syllable": "ထ ကြောင်း ထ ရာ ပေါင်း ခု α€€α€­α€― ဖြင့် ဖတ် α€›α€Ύα€― နိုင် ပါ α€žα€Šα€Ί ။",
  "text_len": 47,
  "syllable_count": 14
}

πŸ‘¨β€πŸ’» Creator & Contributors

This dataset is curated and maintained by Khant Sint Heinn (Burmese: α€α€”α€·α€Ία€†α€„α€·α€Ία€Ÿα€­α€α€Ία€Έ, Kalix Louis).

Khant Sint Heinn is a Machine Learning Engineer specializing in NLP and open-source AI development. As the Lead Developer at DatarrX, he focuses on building scalable data pipelines and practical infrastructure to improve support for low-resource languages. His work aims to transform limited language resources into practical opportunities through clean data and community-driven innovation.


βš–οΈ License & Citation

This work is released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license, ensuring openness and collaboration for the global AI research community.

If you find this dataset useful for your research or applications, please cite it as:

bibtex
@misc{datarrx_my_wiki_2026,
  author       = {Khant Sint Heinn},
  title        = {yanmar Wikipedia Dataset (20260501)},
  year         = {2026},
  publisher    = {Hugging Face},
  organization = {DatarrX},
  howpublished = {https://huggingface.co/datasets/DatarrX/myanmar-Wikipedia},
  note         = {Published under DatarrX. Open-source community asset released under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)}
}