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Datasets:
DatarrX
/
tipitaka-dataset

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
json
Languages:
Burmese
Pāli
Size:
100K - 1M
Tags:
pali
tipitaka
buddhist
myanmar
nlp
corpus
Libraries:
Datasets
pandas
Polars
License:
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metadata 
license: mit
task_categories:
  - text-generation
  - fill-mask
language:
  - my
  - pi
size_categories:
  - 100K<n<1M
pretty_name: Myanmar Tipitaka Corpus
tags:
  - pali
  - tipitaka
  - buddhist
  - myanmar
  - nlp
  - corpus
dataset_info:
  features:
    - name: id
      dtype: string
    - name: category
      struct:
        - name: nikaya
          dtype: string
        - name: basket
          dtype: string
        - name: book
          dtype: string
        - name: chapter
          dtype: string
    - name: paragraph_no
      dtype: string
    - name: content
      dtype: string
    - name: metadata
      struct:
        - name: style
          dtype: string
        - name: db_page_id
          dtype: int64
  splits:
    - name: train
      num_examples: 462504

Myanmar Tipitaka Dataset (Pali Corpus)

Dataset Summary

The Myanmar Tipitaka Dataset is a high-quality, structured collection of the Buddhist Pali Canon, transcribed in the Myanmar (Burmese) script. This dataset contains 462,504 paragraphs, covering the entire "Triple Basket" (Tipitaka) of Theravada Buddhism, including the original Mula (Canonical texts), Atthakatha (Commentaries), and Tika (Sub-commentaries).

This project was initiated by DatarrX to provide a clean, machine-readable corpus for Natural Language Processing (NLP) tasks, specifically focusing on the Pali language as preserved in Myanmar.

Project Credits & Governance

What is the Tipitaka? (For Non-Religion Researchers)

The Tipitaka (Pali for "Triple Basket") is the standard collection of scriptures in the Theravada Buddhist tradition. It is one of the oldest and most extensive philosophical and linguistic records in human history.

  1. Vinaya Pitaka: Rules and discipline for the monastic community.
  2. Sutta Pitaka: Discourses and sermons of the Buddha (contains ethics, philosophy, and psychology).
  3. Abhidhamma Pitaka: A detailed analytical and philosophical systematization of the Buddha's teachings.

For NLP researchers, this dataset represents a low-resource language corpus (Pali in Myanmar script) that is rich in complex grammar, ancient vocabulary, and logical structures.

Dataset Structure

The data is provided in JSONL (JSON Lines) format. Each line represents a paragraph or a verse with full hierarchical metadata.

Data Fields

Field Description
id Unique identifier (derived from source DB page ID and sequence).
category An object containing the hierarchy: nikaya, basket, book, and chapter.
paragraph_no The traditional paragraph numbering used in Buddhist scriptures.
content Clean text content (HTML tags stripped).
metadata Includes style (e.g., bodytext, gatha/verse) and db_page_id.

JSON Example 

{
  "id": "db_00001_005",
  "category": {
    "nikaya": "ဝိနယပိဋက(ခုဒ္ဒကနိကာယ)",
    "basket": "mula",
    "book": "ပါရာဇိကပါဠိ",
    "chapter": "ဝေရဉ္ဇကဏ္ဍံ"
  },
  "paragraph_no": "၁",
  "content": "၁။ တေန သမယေန ဗုဒ္ဓေါ ဘဂဝါ ဝေရဉ္ဇာယံ ဝိဟရတိ...",
  "metadata": {
    "style": "bodytext",
    "db_page_id": 1
  }
}

Technical Specifications

  • Total Records: 462,504
  • Source Format: SQLite (converted to JSONL)
  • Script: Myanmar Script
  • Language: Pali
  • Cleanliness: 100% success rate in extraction with zero skipped errors.

Potential Use Cases

This dataset is designed for a wide range of AI and Linguistic applications:

  1. Large Language Models (LLM): Pre-training or fine-tuning models to understand ancient Pali logic or Myanmar script nuances.
  2. Machine Translation: Building translation systems between Pali and Modern Burmese/English.
  3. Dictionary/Search Engines: Creating semantic search tools for religious scholars.
  4. Text Classification: Identifying styles (Poetry/Gatha vs. Prose/Bodytext) using the style metadata.
  5. Digital Humanities: Analyzing the evolution of the Pali Canon across different Nikayas and Baskets.

Citation & Acknowledgments

If you use this dataset in your research, please cite the original data source and the DatarrX project:

Source Data: Pndaza (2024). Tipitaka Pali SQLite Database. Available at: https://github.com/pndaza/tipitaka-pali Dataset Curation: Khant Sint Heinn (Kalix Louis), DatarrX Organization (2026). Myanmar Tipitaka Dataset.

Contact

For inquiries or collaborations regarding Myanmar NLP projects, please reach out to DatarrX or visit our Hugging Face Profile.