--- 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} } ```