---
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)}
}

```