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README.md
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# 📜 Vedas Dataset (Cleaned CSV Format)
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This repository contains cleaned and structured CSV datasets of the **four Vedas**, originally sourced from
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**GRETIL – Göttingen Register of Electronic Texts in Indian Languages**.
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🔗 Original Source: https://gretil.sub.uni-goettingen.de/gretil.html
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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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---
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## 📚 About the Source
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**GRETIL (Göttingen Register of Electronic Texts in Indian Languages)**
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Maintained by the University of Göttingen, Germany.
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GRETIL provides digitized classical Indian texts, primarily in transliterated Sanskrit (IAST format).
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This repository does **not** claim ownership of the original texts.
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It provides cleaned, structured, and formatted CSV versions for research and educational use.
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---
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## 🧹 Data Cleaning & Processing Steps
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The following preprocessing steps were applied:
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- Removed header/footer metadata
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- Cleaned encoding inconsistencies
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- Standardized verse structure
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- Removed special characters and irregular spacing
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- Normalized Mandala/Kanda/Sukta numbering
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- Structured text into tabular format
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- Added Devanagari script (where applicable)
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- Exported into CSV format
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---
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## 📂 Available Vedas
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The dataset includes cleaned CSV files for:
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- Rigveda
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- Yajurveda
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- Samaveda
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- Atharvaveda
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Depending on availability from GRETIL, datasets may include:
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- Samhita portions
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- Selected recensions
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- Structured verse-level segmentation
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---
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## 🗂 Dataset Structure
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Each CSV file typically contains the following columns:
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| Column Name | Description |
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|--------------------|------------|
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| Mandala / Kanda | Major division of the Veda |
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| Sukta | Hymn number |
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| Mantra / Verse | Verse number |
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| Verse Code | Unique verse identifier |
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| Text (IAST) | Sanskrit text in transliteration |
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| Text (Devanagari) | Sanskrit text in Devanagari script |
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> Note: Column names may vary slightly depending on the specific Veda.
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---
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## 🎯 Possible Use Cases
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- Sanskrit NLP research
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- Language modeling and LLM training
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- Retrieval-Augmented Generation (RAG)
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- Semantic search systems
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- Knowledge graph construction
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- Digital humanities research
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- Vedic text analytics
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- Comparative linguistic studies
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---
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## ⚠️ Disclaimer
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- The original texts are sourced from GRETIL.
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- This repository provides cleaned and structured data for educational and research purposes only.
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- Please refer to GRETIL for the original and authoritative versions.
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---
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## 📌 Citation
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If you use this dataset in academic or research work, please cite:
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**GRETIL – Göttingen Register of Electronic Texts in Indian Languages**
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https://gretil.sub.uni-goettingen.de/gretil.html
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and reference this repository accordingly.
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---
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## 👤 Maintainer
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Maintained by: **dataspoof**
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For issues, improvements, or collaboration, feel free to open an issue or pull request.
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