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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Dataset Summary
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+
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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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+
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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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+
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+ ## Project Credits & Governance
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+
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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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+ ---
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+
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+ ## Understanding the Data (For Non-Religious Researchers)
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+
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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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+
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+ For AI researchers, this dataset is valuable for:
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+
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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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+ ---
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+
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+ ## Dataset Statistics
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+
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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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+
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+ ### Top 10 Part of Speech (POS) Distribution
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+
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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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+ ---
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+
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+ ## Dataset Structure
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+
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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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+
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+ ### Data Fields
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+
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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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+
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+ ### Example Entry
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+
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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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+
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+ ---
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+
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+ ## Potential Applications
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+
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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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+ ---
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+
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+ ## Citation & Acknowledgments
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+
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+ If you use this corpus, please acknowledge the source and the developers:
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+
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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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+ ---
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+
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+ ## Contact
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+
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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).