# 📜 Shaiva & Tantric Sanskrit Corpus (Cleaned from GRETIL)

A structured dataset of **classical Sanskrit Shaiva, Tantric, Yogic, and philosophical texts**, cleaned and converted into a machine-learning friendly tabular format.

The texts were sourced from the **GRETIL – Göttingen Register of Electronic Texts in Indian Languages** and transformed into structured datasets for computational research.

🔗 Original Source  
https://gretil.sub.uni-goettingen.de/gretil.html

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# 📚 About GRETIL

**GRETIL (Göttingen Register of Electronic Texts in Indian Languages)** is a digital archive maintained by the **Göttingen State and University Library (Germany)**.

It contains machine-readable texts in:

- Sanskrit  
- Pali  
- Prakrit  
- Tibetan  
- Other South Asian languages  

These texts are widely used in **Indology, Sanskrit studies, and digital humanities research**.

The present dataset reorganizes and structures these texts into a **verse-level dataset suitable for NLP and AI research**.

⚠️ The original texts remain under copyright of their respective editors and publishers.

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# 📂 Texts Included in This Dataset

The following texts were processed and cleaned from the GRETIL repository.

## Stotras and Devotional Literature

- **Bhaṭṭa Nārāyaṇa — Stavacintāmaṇi** (input by Harunaga Isaacson)  
- **Cakrapāṇinātha — Bhāvopahārastotra** with Rāmyadeva Bhaṭṭa’s Vivarana (input by Somadeva Vasudeva)  
- **Jñānasambhu — Śivapūjāstava** (input by Dominic Goodall)  
- **Kalhaṇa — Ardhanārīśvarastotra** (input by Walter Slaje)  
- **Śivamahimnastava** (input by Harunaga Isaacson)  
- **Utpaladeva — Śivastotrāvali** (input by Somadeva Vasudeva)

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## Tantric and Āgamic Texts

- **Devīkalottara Āgama** (input by Dominic Goodall)  
- **Kubjikāmata Tantra** (input by Somadeva Vasudeva)  
- **Mālinīvijayottaratantra** (input by Somadeva Vasudeva)  
- **Mātṛkābhedatantra** (input by Oliver Hellwig)  
- **Kiraṇa Tantra (Chapters 1–6)** with Rāmakaṇṭha commentary (input by Dominic Goodall)  
- **Mṛgendrāgama (Mṛgendratantra)** (inputs by Dominic Goodall and Oliver Hellwig)  
- **Sārdhatriśatikālottarāgama** (input by Dominic Goodall, corrected by Yang Mei)  
- **Svacchanda Tantra / Svacchandabhairava Tantra** (input by Dominic Goodall et al.)  
- **Toḍala Tantra** (input by Oliver Hellwig)  
- **Uḍḍāmareśvara Tantra** (input by Oliver Hellwig)  
- **Vīṇāśikha Tantra** (input by Somadeva Vasudeva)

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## Śaiva Philosophy and Related Works

- **Śivasūtra with Vārttika** (input by Oliver Hellwig)  
- **Śiva Upaniṣad** (input by Reinhold Grünendahl)  
- **Somānanda — Śāktavijñāna** (input by Oliver Hellwig)  
- **Śrīkaṇṭha — Ratnatrayaparīkṣā** (input by Dominic Goodall)

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## Śaiva Ritual and Yoga Texts

- **Paraśurāmakalpasūtra** (input by Claudia Weber)  
- **Pāśupatasūtra** (input by Reinhold Grünendahl)  
- **Pāśupatasūtra with Kauṇḍinya’s Pañcārthabhāṣya** (input by Oliver Hellwig)

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## Lexicographical and Other Texts

- **Bijanighaṇṭu** (input by Oliver Hellwig)  
- **Puruṣottamadeva — Ekākṣarakośa** (input by Oliver Hellwig)

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## Nath and Yogic Texts

- **Gorakṣanātha — Amaraughaśāsana** with commentary (input by Oliver Hellwig)  
- **Gorakṣaśataka** (two versions)

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## Regional and Historical Texts

- **Karatoyāmāhātmya** (input by Arlo Griffiths)

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## Classical Sanskrit Works

- **Śaṅkara (attrib.) — Saundaryalaharī** (input by Peter Schreiner)

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# 🗂 Dataset Structure

Each row represents a **single verse or textual unit**.

| Column | Description |
|------|-------------|
| text_name | Name of the source text |
| chapter | Chapter or section |
| verse_no | Verse number |
| sanskrit_transliteration | IAST transliteration |
| sanskrit_devanagari | Devanagari script |

Example:

| text_name | chapter | verse_no | transliteration | devanagari |
|---|---|---|---|---|
| Saundaryalahari | 1 | 1 | śivaḥ śaktyā yukto... | शिवः शक्त्या युक्तो... |

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# 🧹 Data Processing Pipeline

The following preprocessing steps were applied:

1. Removal of metadata and markup from GRETIL text files  
2. Regex-based verse extraction  
3. Normalization of transliteration (IAST)  
4. Conversion to Devanagari  
5. Standardization of whitespace and punctuation  
6. Conversion to structured DataFrame format

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# 🔬 Possible Use Cases

### Sanskrit NLP

- Sanskrit language models
- Sanskrit embeddings
- Morphological analysis

### AI Research

- Sanskrit LLM training
- Retrieval-Augmented Generation (RAG)
- Semantic search across scriptures

### Digital Humanities

- Tantric textual analysis
- Shaiva philosophical studies
- Knowledge graph construction

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# 📖 Attribution

All source texts originate from:

**GRETIL – Göttingen Register of Electronic Texts in Indian Languages**

https://gretil.sub.uni-goettingen.de/gretil.html

Please cite GRETIL when using this dataset in academic work.

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# 👨‍💻 Maintainer

**DataSpoof**

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# 🙏 Acknowledgements

Special thanks to:

- GRETIL
- Göttingen State and University Library
- The scholars who digitized and edited these Sanskrit texts

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