Update README.md

README.md

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 ---
 license: cc-by-4.0
+task_categories:
+- text-generation
+- fill-mask
+- token-classification
+language:
+- my
+tags:
+- burmese
+- wikipedia
+- nlp
+- dataset
+- low-resource
+- monolingual
 ---
+
+# Burmese Only Wiki Dataset
+
+This dataset is a refined, high-precision monolingual collection derived from the [DatarrX/myanmar-Wikipedia](https://huggingface.co/datasets/DatarrX/myanmar-Wikipedia) repository. It has been strictly filtered to ensure that every sentence contains exclusively Burmese characters, making it an ideal resource for language modeling, sequence-to-sequence tasks, and linguistic research where cross-lingual noise must be eliminated.
+
+## 🏛️ About DatarrX
+**DatarrX (Burmese: ဒေတာအက်စ်)** 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.
+
+---
+
+## 🏗️ Creation & Curation Process
+
+To create this "Burmese-only" subset, we implemented a rigorous linguistic filtration pipeline:
+
+1.  **Source Extraction:** Data was pulled from the processed `myanmar-Wikipedia` dataset, ensuring a consistent starting point.
+2.  **Linguistic Purity Filtering:** We applied a strict Unicode-range filter (specifically targeting Burmese script blocks `\u1000-\u109F`) to detect and exclude sentences containing English, Chinese, Japanese, Korean, Thai, or other non-Burmese characters.
+3.  **Symbol & Artifact Cleansing:** * Removed redundant formatting characters and markup residue (`''''''`, `||`, `##`).
+    * Eliminated incomplete punctuation artifacts and empty parenthetical groups.
+4.  **Structural Normalization:** Enforced sentence-ending consistency by ensuring every sentence concludes with the standard Burmese full-stop (`။`).
+5.  **Syllable Tokenization:** Every sentence was passed through the `mm-syllable` breaker, with a validation layer to remove invalid syllable combinations, ensuring the integrity of the secondary `syllable` column.
+
+---
+
+## 📊 Dataset Statistics
+* **Total Sentences:** 353,267
+* **Average Sentence Length:** 106.49 characters
+* **Average Syllable Count:** 33.84
+* **Structural Consistency:** 99.99% of sentences end with the standard Burmese full-stop (`။`).
+
+### Data Structure
+| Column | Description |
+| :--- | :--- |
+| `text` | The clean, purely Burmese sentence. |
+| `syllable` | The same sentence segmented into syllables with spaces. |
+
+**Sample Entry:**
+```json
+{
+  "text": "ဝီကီဟု ခေါ်သော ဝက်ဘ်ဆိုက် ပုံစံတစ်မျိုးကို အသုံးပြု၍ ပူးပေါင်းရေးသားခြင်းကို အဆင်ပြေစေရန် စီမံထားခြင်း ဖြစ်ပါသည်။",
+  "syllable": "ဝီ ကီ ဟု ခေါ် သော ဝက်ဘ် ဆိုက် ပုံ စံ တစ် မျိုး ကို အ သုံး ပြု ၍ ပူး ပေါင်း ရေး သား ခြင်း ကို အ ဆင် ပြေ စေ ရန် စီ မံ ထား ခြင်း ဖြစ် ပါ သည် ။",
+  "text_len": 113,
+  "syllable_count": 35
+}
+```
+
+---
+
+## 👨‍💻 Creator & Contributors
+
+This dataset is curated and maintained by **Khant Sint Heinn (Burmese: ခန့်ဆင့်ဟိဏ်း, 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.
+
+---
+
+## ⚖️ License & Citation
+
+This work is released under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license.
+
+If you utilize this dataset in your work, please cite as:
+
+```bibtex
+@misc{datarrx_burmese_only_2026,
+  author       = {Khant Sint Heinn},
+  title        = {Burmese Only Wiki Dataset},
+  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)}
+}
+
+```