| --- |
| license: mit |
| language: |
| - my |
| tags: |
| - burmese |
| - myanmar |
| - nlp |
| - corpus |
| - wikisource |
| task_categories: |
| - text-generation |
| - fill-mask |
| - translation |
| - summarization |
| size_categories: |
| - 1M<n<10M |
| --- |
| # DatarrX MyWikisource Corpus |
|
|
| A high-quality, large-scale Burmese (Myanmar) language dataset extracted and refined from the official **Burmese Wikisource**. This dataset is specifically designed for Natural Language Processing (NLP) tasks, including language modeling, spell checking, and formal text analysis. |
|
|
| ## Dataset Summary |
| - **Organization:** [DatarrX](https://huggingface.co/DatarrX) |
| - **Maintainer:** [Khant Sint Heinn(Kalix Louis)](https://huggingface.co/kalixlouiis) |
| - **Source:** [Burmese Wikisource (my.wikisource.org)](https://my.wikisource.org/) |
| - **Total Rows:** 1,352,972 |
| - **Total Rows:** 1,352,972 |
| - **Format:** ID, Categories, Title, Context |
| - **Language:** Burmese (Myanmar) - 100% (Threshold Filtered) |
| - **License:** MIT |
| |
| ## Data Origin (Source) |
| The data is sourced directly from the **Wikimedia Foundation's Wikisource project for the Burmese language**. Wikisource is a digital library of free-content textual sources, which includes historical documents, classical literature, legal texts, and poems that have been proofread by the community. |
|
|
| ## Data Processing Details |
| This dataset has undergone rigorous cleaning to ensure high utility for AI/ML applications: |
|
|
| 1. **Namespace Filtering:** Only core encyclopedia/document entries (NS:0) were included, removing metadata and talk pages. |
| 2. **HTML/XML Cleaning:** All residual tags (e.g., `<p>`, `<div>`, etc.) have been removed using regex patterns. |
| 3. **Language Threshold:** A strict 70% Burmese character threshold was applied to every row to filter out heavy English or foreign language noise. |
| 4. **Deduplication:** Repeated contexts and duplicate entries were removed to prevent model overfitting. |
| 5. **Sentence Refinement:** - Sentences are split based on the Burmese period (။). |
| - Extremely short fragments (less than 10 characters) were intelligently merged with adjacent sentences to maintain contextual meaning. |
| 6. **Noise Mitigation:** Known noise patterns like "မေး။ ။" and "ဖြေ။ ။" have been stripped out. |
|
|
| > **Note:** While significant efforts were made to clean the data, users might still encounter minor noise due to the nature of historical transcriptions in the source material. |
|
|
| ## Dataset Structure |
| | Column | Description | |
| | :--- | :--- | |
| | `id` | Unique sequential identifier for each row. | |
| | `categories` | Categories assigned to the original Wikisource article. | |
| | `title` | The title of the original article/document. | |
| | `context` | The cleaned Burmese sentence or paragraph. | |
|
|
| ## Licensing Information |
| This dataset is released under the **MIT License**. You are free to use, modify, and distribute it, provided that the original credit is given to the creators. |
|
|
| ## Contribution & Support |
| Developed by **Kalix Louiis** under the **DatarrX** organization. We aim to build robust open-source datasets for the Burmese NLP ecosystem. |
|
|
| - **Organization Profile:** [DatarrX](https://huggingface.co/DatarrX) |
| - **Author Profile:** [Khant Sint Heinn(Kalix Louis)](https://huggingface.co/kalixlouiis) |
|
|
| If you find this dataset useful, please consider giving it a ❤️ on the Hugging Face repository! |
|
|
| ## Citation |
| If you use this dataset, please cite it using the following formats: |
|
|
| **APA:** |
| Khant Sint Heinn (Kalix Louis). (2026). MyWikisource: A Large-Scale High-Quality Burmese Corpus (Version 1.0) [Data set]. DatarrX. https://huggingface.co/datasets/DatarrX/mywikisource |
|
|
| ```BibTeX |
| @dataset{khant_sint_heinn_2026_mywikisource, |
| author = {Khant Sint Heinn (Kalix Louis)}, |
| title = {MyWikisource: A Large-Scale High-Quality Burmese Corpus}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| organization = {DatarrX}, |
| version = {1.0}, |
| url = {https://huggingface.co/datasets/DatarrX/mywikisource} |
| } |
| ``` |
|
|
| ## About the Author |
|
|
| **Khant Sint Heinn**, working under the name **Kalix Louis**, is a **Machine Learning Engineer focused on Natural Language Processing (NLP), data foundations, and open-source AI development**. His work is centered on improving support for the Burmese (Myanmar) language in modern AI systems by building high-quality datasets, practical tools, and scalable infrastructure for language technology. |
|
|
| He is currently the **Lead Developer at DatarrX**, where he develops data pipelines, manages large-scale data collection workflows, and helps create open-source resources for researchers, developers, and organizations. His experience includes data engineering, web scripting, dataset curation, and building systems that support real-world machine learning applications. |
|
|
| Khant Sint Heinn is especially interested in advancing low-resource languages and making AI more accessible to underrepresented communities. Through his open-source contributions, he works to strengthen the Burmese (Myanmar) tech ecosystem and provide reliable building blocks for future language models, search systems, and intelligent applications. |
|
|
| His goal is simple: to turn limited language resources into practical opportunities through clean data, useful tools, and community-driven innovation. |
|
|
| **Connect with the Author:** |
| [GitHub](https://github.com/kalixlouiis) | [Hugging Face](https://huggingface.co/kalixlouiis) | [Kaggle](https://www.kaggle.com/organizations/kalixlouiis) |
|
|
