license: cc-by-4.0
task_categories:
- text-generation
- fill-mask
- token-classification
language:
- my
tags:
- burmese
- wikipedia
- nlp
- dataset
- low-resource
size_categories:
- 100K<n<1M
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.
ποΈ About DatarrX
DatarrX (Burmese: αα±αα¬α‘ααΊα αΊ) 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.
ποΈ Dataset Creation Pipeline
This dataset was developed through a rigorous multi-stage cleaning and preparation process to ensure maximum utility for researchers and developers:
- Data Extraction: The source material was derived from the official Burmese Wikipedia Database Dump (2026-05-01).
- Markup Sanitization: We systematically removed MediaWiki markup, HTML tags, template artifacts (
{{...}}), and internal links ([[...]]). - Filtering & Noise Reduction: * Applied strict Zawgyi-to-Unicode verification to ensure data consistency.
- Removed tabular metadata, non-informative CSS/module snippets, and malformed rows.
- Filtered out rows containing non-Burmese characters (where applicable) and low-information symbols.
- Sentence Segmentation & Normalization: * Articles were split into individual sentences.
- We enforced a standard Burmese full-stop (
α) at the end of every sentence to ensure structural consistency.
- We enforced a standard Burmese full-stop (
- Syllable Tokenization: Using
mm-syllable, every sentence was segmented into its constituent Burmese syllables, providing a secondary column (syllable) for syllable-level model training.
π Dataset Statistics
- Total Sentences: 546,045
- Average Sentence Length: 122.98 characters
- Average Syllable Count: 39.11
- Structural Consistency: 99.90% of sentences end with the standard Burmese full-stop (
α).
Data Structure
| Column | Description |
|---|---|
text |
The clean, normalized Burmese sentence. |
syllable |
The same sentence segmented into syllables with spaces. |
Sample Entry:
{
"text": "α‘ααΌα±α¬ααΊαΈα‘αα¬αα±α«ααΊαΈ αα―ααα― ααΌαα·αΊ αααΊααΎα―ααα―ααΊαα«αααΊα",
"syllable": "α‘ ααΌα±α¬ααΊαΈ α‘ αα¬ αα±α«ααΊαΈ αα― ααα― ααΌαα·αΊ αααΊ ααΎα― ααα―ααΊ αα« αααΊ α",
"text_len": 47,
"syllable_count": 14
}
π¨βπ» Creator & Contributors
This dataset is curated and maintained by Khant Sint Heinn (Burmese: ααα·αΊααα·αΊααααΊαΈ, 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.
βοΈ 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:
@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)}
}