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---
license: mit
language:
- my
tags:
- Myanmar
- Burmese
- Lexicon
- Subword
- Wiktionary
- Tokenization
- Dictionary
- Unicode
pretty_name: Myanmar Wiktionary Words
task_categories:
- text-classification
---
# 📚 Myanmar Wiktionary Words
A high-quality dataset of over **26,000 Myanmar (Burmese) words** scraped from [my.wiktionary.org](https://my.wiktionary.org), enriched with subword-level segmentation. This dataset is intended for use in lexical modeling, NLP tokenization tasks, and morphological analysis of the Myanmar language.
---
## ✨ Dataset Highlights
```
- ✅ **26K+ Myanmar lexical entries**, sourced from online Wiktionary
- 🧱 **Subword segmentation** included for each word using intelligent Python rules
- 🧼 **Manual curation** to correct common Myanmar typographic issues (e.g., `န့` → `န့်`)
- 🔡 **Preserved** numeric and punctuation entries (e.g., `0–9`, `။`, `၊`) due to their semantic and grammatical importance
- 🧹 **Filtered out** isolated diacritics such as `ါ`, `ာ`, `ိ`, `ု`, etc., which carry no meaning on their own when detached
```
---
## 📦 File Format
- **File**: `my_wikitionary.csv`
- **Encoding**: UTF-8
- **Fields**:
- `my_word`: the full Myanmar lexical item
- `my_subword`: a space-separated list of quoted subwords (e.g., `"xxx" "yyy"`)
### 📋 Example Rows
```
| my_word | my_subword |
|------------|--------------------------|
| ဧတဒဂ် | "ဧ" "တ" "ဒဂ်" |
| ကကဏ္ဋက | "က" "ကဏ္ဋ" "က" |
| ၅ | "၅" |
| ။ | "။" (Myanmar full stop) |
```
---
## 🧠 Construction Process
1. **Data Source**: Scraped systematically from the `my.wiktionary.org` interface.
2. **Unicode Normalization**: Normalized all entries to NFC form for consistency.
3. **Subword Tokenization**: Employed rule-based segmentation to split compounds, prefixes, and suffixes.
4. **Manual Corrections**:
- Fixed corrupted forms like `န့`, `င့်`, `မ့်`, `ည့်`
- Preserved meaningful characters like `။` (Myanmar full stop), `၊` (comma), and numerals (`၀–၉`)
- Removed meaningless standalone signs like `ါ`, `ာ`, `ိ`, `ု` which do not function as words
---
## 📊 Applications
```
- 📖 Myanmar language lexicon building
- ✂️ Subword tokenization model training
- 🧪 Morphological parsing and grammar analysis
- 🔤 Dictionary and spell-checker development
- 🤖 Preprocessing pipelines for Burmese NLP tasks
```
---
## 📁 File Statistics
```
- Entries: ~26,000+
- Fields: `my_word`, `my_subword`
- Format: Clean UTF-8 CSV
```
---
## 🙏 Acknowledgments
This project would not be possible without the collective care and wisdom of those who came before.
✨ While I applied only limited effort to clean and organize this dataset, **all credit belongs to the tireless souls of Wiktionary**—especially the great and compassionate contributors who gave countless unpaid hours to preserve and document their language.
**Wiktionary**, like its sister project Wikipedia, was launched by the **Wikimedia Foundation** in 2002—not by any single founder, but as a bold invitation to all. Proposed by **Daniel Alston** and technically supported early on by **Brion Vibber**, it has grown entirely thanks to a global community of volunteers.
These anonymous and often unsung contributors—linguists, students, monks, migrants, hobbyists—quietly type and revise, not for reward, but out of love for their language and a hope that it may be known, spoken, and lived.
> Their invisible labor is a gift. A monument built stone by stone, not by one sculptor, but by thousands of hands.
- 🧭 Source: [my.wiktionary.org](https://my.wiktionary.org)
- 💻 Python processing and validation by Myanmar language researchers
- ❤️ Eternal gratitude to Wiktionary’s volunteers who help languages live on, one entry at a time
```
> _“May the value of their invisible work echo far beyond the lines of code we wrap it in.”_ 🕊️
```
---
## 🔓 License
```
Distributed under the **MIT License** – free to use, modify, and distribute with attribution.
```
---
## 💬 Citation
``
```bibtex
@dataset{freococo2025myanmarwikitionary,
title = {Myanmar Wikitionary Words},
author = {freococo},
year = {2025},
url = {https://huggingface.co/datasets/freococo/myanmar_wikitionary_words},
note = {Version 1.0, Hugging Face Datasets}
}
```