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# 📜 Epics Dataset (Cleaned CSV Format)
This repository contains cleaned and structured CSV datasets of major **Hindu Itihasa (Epics)** texts, originally sourced from
**GRETIL – Göttingen Register of Electronic Texts in Indian Languages**.
🔗 Original Source: https://gretil.sub.uni-goettingen.de/gretil.html
The raw Sanskrit texts were extracted from GRETIL and processed into machine-readable CSV format for research, NLP, and data science applications.
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## 📚 About the Source
**GRETIL (Göttingen Register of Electronic Texts in Indian Languages)**
Maintained by the University of Göttingen, Germany.
GRETIL provides digitized classical Indian texts, primarily in transliterated Sanskrit (IAST format).
This repository does **not** claim ownership of the original texts.
It provides cleaned and structured CSV versions strictly for research and educational purposes.
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## 🧹 Data Cleaning & Processing Steps
The following preprocessing steps were applied:
- Removed header and footer metadata
- Cleaned encoding inconsistencies
- Standardized chapter and verse formatting
- Removed irregular spacing and special symbols
- Normalized verse numbering
- Structured text into tabular format
- Added Devanagari script (where applicable)
- Exported into CSV format
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## 📂 Available Epics
The dataset includes cleaned CSV files for:
- Bhagavad Gita
- Harivamsa
- Mahabharata (Narayaniya section)
- Valmiki Ramayana
Each text is segmented at verse level for structured analysis.
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## 🗂 Dataset Structure
Each CSV file typically contains the following columns:
| Column Name | Description |
|--------------------|------------|
| Book / Parva / Kanda | Major division of the epic |
| Chapter / Adhyaya | Chapter number |
| Verse Number | Verse index |
| Verse Code | Unique verse identifier |
| Text (IAST) | Sanskrit text in transliteration |
| Text (Devanagari) | Sanskrit text in Devanagari script |
> Note: Column names may vary slightly depending on the specific epic.
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## 🎯 Possible Use Cases
- Sanskrit NLP research
- LLM pretraining or fine-tuning
- Retrieval-Augmented Generation (RAG)
- Semantic search systems
- Knowledge graph construction
- Story structure analysis
- Digital humanities research
- Comparative scriptural studies
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## ⚠️ Disclaimer
- The original texts are sourced from GRETIL.
- This repository provides cleaned and structured datasets for educational and research purposes only.
- For authoritative versions, please refer to GRETIL.
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## 📌 Citation
If you use this dataset in academic or research work, please cite:
**GRETIL – Göttingen Register of Electronic Texts in Indian Languages**
https://gretil.sub.uni-goettingen.de/gretil.html
and reference this repository accordingly.
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## 👤 Maintainer
Maintained by: **dataspoof**
For issues, improvements, or collaboration, feel free to open an issue or pull request.