license: cc-by-4.0
task_categories:
- text-generation
- fill-mask
language:
- pa
- en
- hi
- ur
- fa
tags:
- sikh
- gurbani
- religion
- punjabi
- research
- librarian
- nlp
- text-corpus
- multilingual
- scripture
- open-source
- historical
- philosophical
- spiritual
pretty_name: The Universal Sikh Research Library (750M+ Words)
ਵਾਹਿਗੁਰੂਜੀਕਾਖਾਲਸਾਵਾਹਿਗੁਰੂਜੀਕੀਫਤਹਿ ਜੀ
🪯 SikhLibrary: A Universal Comprehensive Research Corpus
Version: 2.0
Total Word Count: 758,354,306
Primary Format: Clean UTF-8 .txt
🛡️ Mission & Vision
With the infinite Kirpa of Sache Paatshaah, this project was undertaken as a humble Seva for the Panth. The goal of SikhLibrary is to provide a universal, comprehensive, and easily accessible digital source for Sikh research.
By centralizing scriptures, historical texts, scholarly commentaries, and linguistic archives into a standardized, machine-readable format, we aim to empower the next generation of Sikh scholars, AI researchers, and developers. If Sache Paatshaah wishes it, this dataset will serve as the foundational source for Sikh-centric Large Language Models (LLMs) and advanced NLP research.
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🙏 Acknowledgements & Gratitude
This project is a culmination of decades of work by various organizations and individuals dedicated to digital preservation. We offer our deepest gratitude to:
Sache Paatshaah: For providing the strength, resources, and vision to perform this seva.
ShabadOS & BaniDB: For their incredible work in providing structured Gurbani data and indexing that serves as a cornerstone for modern Sikh apps.
Sikhi.IO: For their vast archive of digitized texts and translations that form the bulk of the research corpus.
Panthic Organizations: To all organizations, past and present, who have labored to scan, type, and verify these historical records.
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📊 Dataset Statistics
The repository contains over 583 text files categorized into five distinct research domains:
Total Words: 758,354,306
Categories: 5 Primary Folders (100+ Sub-categories)
Avg. File Size: 1.3 Million Words per file
=====================================================================================
📁 Directory Structure
| Folder | Content Description |
|---|---|
| Gurbani_Core | Foundation scriptures including Sri Guru Granth Sahib (112 Languages), Dasam Granth, and Sarbloh Granth. |
| Steeks | Exegesis and word-by-word meanings (Teekas), including the ShabadOS database and classical commentaries. |
| Granths | Major historical works such as the Mahan Kosh, Suraj Parkash, and Panth Prakash. |
| Literature | Historical accounts (Janam Sakhis), Rehatnamas, and heroic ballads (Jangnamas). |
| Research | Modern archives, the Sikh Encyclopedia, Gurdwaras database, and historical timelines. |
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🤝 Future Collaboration & Contributions
This is a living dataset. We believe that Sikh knowledge should be open and accessible to all.
Continuous Updates: We will continue to add more .txt files as new manuscripts are digitized and verified.
Call for Collaboration: We invite other Panthic organizations, scholars, and developers to contribute their data to this repository. Whether it is a new translation, a historical teeka, or a linguistic corpus, your contribution will help make this a truly universal source.
If you have data you wish to contribute or if you find errors in the current texts, please open an Issue or a Discussion on this repository.
=====================================================================================
📜 Usage & License
This dataset is provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Researchers and Developers: You are free to share and adapt this material for any purpose, even commercially, provided you give appropriate credit to the sources (ShabadOS, BaniDB, Sikhi.IO) and this library.
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🛠️ How to Load (Python)
Python
from datasets import load_dataset
# Load the entire archive
dataset = load_dataset("jsdosanj/SikhLibrary")
# Accessing a specific category (e.g., Gurbani)
# Note: Further structured loading scripts coming soon.
======================================================================================
💻 Local Implementation & AI Tools
To learn how to use this dataset with Local LLMs (Large Language Models), specifically optimized for Apple Silicon Macs (M1/M2/M3/M4/M5), please visit the official GitHub repository:
🔗 GitHub: AI-Sikh-Librarian
This companion repo includes:
- Scripts for local indexing and RAG (Retrieval-Augmented Generation).
- Instructions for converting these
.txtfiles into vector embeddings for private, offline search.
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"ਦੇਗ ਤੇਗ ਫ਼ਤਿਹ ਪੰਥ ਕੀ ਜੀਤ" Dedicated to the eternal light of the Guru Khalsa Panth.
In Service to Sache Paatshaah, ਜਸਵੰਤ ਸਿੰਘ ਪੰਛੀ