| # 📜 Shaiva & Tantric Sanskrit Corpus (Cleaned from GRETIL) |
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| A structured dataset of **classical Sanskrit Shaiva, Tantric, Yogic, and philosophical texts**, cleaned and converted into a machine-learning friendly tabular format. |
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| The texts were sourced from the **GRETIL – Göttingen Register of Electronic Texts in Indian Languages** and transformed into structured datasets for computational research. |
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| 🔗 Original Source |
| https://gretil.sub.uni-goettingen.de/gretil.html |
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| # 📚 About GRETIL |
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| **GRETIL (Göttingen Register of Electronic Texts in Indian Languages)** is a digital archive maintained by the **Göttingen State and University Library (Germany)**. |
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| It contains machine-readable texts in: |
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| - Sanskrit |
| - Pali |
| - Prakrit |
| - Tibetan |
| - Other South Asian languages |
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| These texts are widely used in **Indology, Sanskrit studies, and digital humanities research**. |
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| The present dataset reorganizes and structures these texts into a **verse-level dataset suitable for NLP and AI research**. |
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| ⚠️ The original texts remain under copyright of their respective editors and publishers. |
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| # 📂 Texts Included in This Dataset |
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| The following texts were processed and cleaned from the GRETIL repository. |
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| ## Stotras and Devotional Literature |
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| - **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 |
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| - **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 |
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| - **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 |
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| - **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 |
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| - **Bijanighaṇṭu** (input by Oliver Hellwig) |
| - **Puruṣottamadeva — Ekākṣarakośa** (input by Oliver Hellwig) |
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| ## Nath and Yogic Texts |
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| - **Gorakṣanātha — Amaraughaśāsana** with commentary (input by Oliver Hellwig) |
| - **Gorakṣaśataka** (two versions) |
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| ## Regional and Historical Texts |
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| - **Karatoyāmāhātmya** (input by Arlo Griffiths) |
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| ## Classical Sanskrit Works |
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| - **Śaṅkara (attrib.) — Saundaryalaharī** (input by Peter Schreiner) |
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| # 🗂 Dataset Structure |
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| Each row represents a **single verse or textual unit**. |
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| | 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 | |
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| Example: |
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| | text_name | chapter | verse_no | transliteration | devanagari | |
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| | Saundaryalahari | 1 | 1 | śivaḥ śaktyā yukto... | शिवः शक्त्या युक्तो... | |
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| # 🧹 Data Processing Pipeline |
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| The following preprocessing steps were applied: |
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| 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 |
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| ### Sanskrit NLP |
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| - Sanskrit language models |
| - Sanskrit embeddings |
| - Morphological analysis |
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| ### AI Research |
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| - Sanskrit LLM training |
| - Retrieval-Augmented Generation (RAG) |
| - Semantic search across scriptures |
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| ### Digital Humanities |
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| - Tantric textual analysis |
| - Shaiva philosophical studies |
| - Knowledge graph construction |
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| # 📖 Attribution |
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| All source texts originate from: |
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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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| Please cite GRETIL when using this dataset in academic work. |
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| # 👨💻 Maintainer |
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| **DataSpoof** |
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| # 🙏 Acknowledgements |
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| Special thanks to: |
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| - GRETIL |
| - Göttingen State and University Library |
| - The scholars who digitized and edited these Sanskrit texts |
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