| # 📜 Vedas Dataset (Cleaned CSV Format) |
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| This repository contains cleaned and structured CSV datasets of the **four Vedas**, originally sourced from |
| **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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| ## 📚 About the Source |
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| **GRETIL (Göttingen Register of Electronic Texts in Indian Languages)** |
| 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. |
| It provides cleaned, structured, and formatted CSV versions for research and educational use. |
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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 |
| - Cleaned encoding inconsistencies |
| - Standardized verse structure |
| - Removed special characters and irregular spacing |
| - Normalized Mandala/Kanda/Sukta numbering |
| - Structured text into tabular format |
| - Added Devanagari script (where applicable) |
| - Exported into CSV format |
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| ## 📂 Available Vedas |
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| The dataset includes cleaned CSV files for: |
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| - Rigveda |
| - Yajurveda |
| - Samaveda |
| - Atharvaveda |
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| Depending on availability from GRETIL, datasets may include: |
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| - Samhita portions |
| - Selected recensions |
| - Structured verse-level segmentation |
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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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| | Mandala / Kanda | Major division of the Veda | |
| | Sukta | Hymn number | |
| | Mantra / Verse | Verse number | |
| | Verse Code | Unique verse identifier | |
| | Text (IAST) | Sanskrit text in transliteration | |
| | 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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| ## 🎯 Possible Use Cases |
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| - Sanskrit NLP research |
| - Language modeling and LLM training |
| - Retrieval-Augmented Generation (RAG) |
| - Semantic search systems |
| - Knowledge graph construction |
| - Digital humanities research |
| - Vedic text analytics |
| - Comparative linguistic studies |
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| ## ⚠️ Disclaimer |
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| - The original texts are sourced from GRETIL. |
| - This repository provides cleaned and structured data for educational and research purposes only. |
| - Please refer to GRETIL for the original and authoritative versions. |
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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** |
| https://gretil.sub.uni-goettingen.de/gretil.html |
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| and reference this repository accordingly. |
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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. |
