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---
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language:
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- pi
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- my
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license: mit
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task_categories:
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- translation
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- text-generation
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- question-answering
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tags:
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- pali
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- myanmar
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- dictionary
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- buddhist
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- nlp
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- linguistics
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- instruction-finetuning
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dataset_info:
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features:
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- name: word
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dtype: string
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- name: part_of_speech
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dtype: string
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- name: etymology
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dtype: string
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- name: definition
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dtype: string
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- name: instruction
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dtype: string
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- name: response
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dtype: string
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splits:
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- name: train
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num_examples: 306063
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---
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# Pali-Myanmar Dictionary Corpus (Instruction-Ready)
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## Dataset Summary
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The **Pali-Myanmar Dictionary Corpus** is an extensive, highly structured linguistic resource containing **306,063 entries**. It serves as a comprehensive bridge between the ancient Pali language and Modern Myanmar (Burmese). This dataset is specifically designed for Natural Language Processing (NLP), Machine Translation, and Large Language Model (LLM) instruction tuning.
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Each record is parsed from original sources into a structured format that includes grammatical categories, etymological roots, and clean definitions.
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## Project Credits & Governance
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* **Organization:** [DatarrX](https://www.google.com/search?q=https://github.com/DatarrX)
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* **Curated by:** [Khant Sint Heinn (Kalix Louis)](https://huggingface.co/kalixlouiis)
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* **Source Data:** Derived from [pndaza/tipitaka-pali](https://github.com/pndaza/tipitaka-pali)
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* **License:** [MIT License](https://opensource.org/licenses/MIT)
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---
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## Understanding the Data (For Non-Religious Researchers)
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Pali is a classical Indo-Aryan language, famous as the language of the Buddhist scriptures (Tipitaka). However, this dataset is more than a religious text; it is a **Classical-to-Modern Language Mapping Corpus**.
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For AI researchers, this dataset is valuable for:
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1. **Morphological Analysis:** Pali has a complex inflectional system similar to Latin or Sanskrit.
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2. **Low-Resource NLP:** Providing high-quality supervised data for the Myanmar script.
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3. **Semantic Mapping:** Understanding how ancient philosophical concepts translate into modern legal and ethical Burmese terminology.
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---
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## Dataset Statistics
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| Metric | Value |
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| --- | --- |
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| **Total Entries** | 306,063 |
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| **Average Word Length** | 9.24 characters |
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| **Entries with Part of Speech (POS)** | 232,186 (75.8%) |
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| **Entries with Etymology** | 178,316 (58.2%) |
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### Top 10 Part of Speech (POS) Distribution
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| POS Tag | Count | Percentage | Description |
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| --- | --- | --- | --- |
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| တိ | 64,733 | 21.15% | Adjectives / Pronouns |
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| န | 41,840 | 13.67% | Neuter Nouns |
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| ပု | 37,432 | 12.23% | Masculine Nouns |
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| ထီ | 15,715 | 5.13% | Feminine Nouns |
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| ပ | 12,520 | 4.09% | Prefixes / Primary Roots |
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| ကြိ | 10,574 | 3.45% | Verbs |
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---
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## Dataset Structure
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The dataset follows an **Instruction-Response** format, making it compatible with modern LLM training (Supervised Fine-Tuning).
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### Data Fields
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* `word`: The target Pali word.
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* `part_of_speech`: Grammatical classification (Gender, Tense, etc.).
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* `etymology`: The root origin of the word.
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* `definition`: The modern Myanmar translation/definition.
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* `instruction`: A natural language prompt for the AI.
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* `response`: A human-like generated response combining grammar and definition.
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### Example Entry
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```json
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{
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"word": "စက္ကဒဟ",
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"part_of_speech": "ပု",
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"etymology": "စက္က+ဒဟ",
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"definition": "စကြာရတနာဖြစ်ပေါ်ရာအရပ်။",
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"instruction": "Provide the definition and grammar for the Pali word: စက္ကဒဟ",
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"response": "စက္ကဒဟ (ပု) is defined as: စကြာရတနာဖြစ်ပေါ်ရာအရပ်။"
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}
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```
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---
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## Potential Applications
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1. **Instruction Tuning for LLMs:** Fine-tuning models like Llama or Gemma to understand and explain Pali terms.
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2. **Machine Translation (MT):** Creating a baseline vocabulary for Pali-to-Burmese translation systems.
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3. **Automatic POS Tagging:** Using the 232k+ POS labels to train grammatical classifiers for the Myanmar script.
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4. **Digital Humanities:** Researching the linguistic evolution and word-formation (etymology) of Pali words in the Myanmar context.
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---
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## Citation & Acknowledgments
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If you use this corpus, please acknowledge the source and the developers:
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> **Source Data:** Pndaza (2024). Tipitaka Pali SQLite Database. Available at: [https://github.com/pndaza/tipitaka-pali](https://github.com/pndaza/tipitaka-pali)
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> **Curation:** Khant Sint Heinn (Kalix Louis), DatarrX Organization (2026). Pali-Myanmar Dictionary Corpus.
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---
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## Contact
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For inquiries regarding DatarrX's Myanmar NLP initiatives, please visit [Hugging Face](https://huggingface.co/DatarrX) or our [GitHub](https://www.google.com/search?q=https://github.com/DatarrX).
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