Update README.md

README.md

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----
-license: mit
----
+---
+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 Wikisource is a digital library of free-content textual sources, which includes historical documents, classical literature, legal texts, and poems that have been proofread by the community.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}
+}