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+ # 📜 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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+
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+ 🔗 Original Source
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+ https://gretil.sub.uni-goettingen.de/gretil.html
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+
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+ ---
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+
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+ # 📚 About GRETIL
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+
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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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+
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+ - Sanskrit
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+ - Pali
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+ - Prakrit
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+ - Tibetan
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+ - Other South Asian languages
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+
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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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+
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+ ---
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+
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+ # 📂 Texts Included in This Dataset
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+
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+ The following texts were processed and cleaned from the GRETIL repository.
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+
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+ ## Stotras and Devotional Literature
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+
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+ - **Bhaṭṭa Nārāyaṇa — Stavacintāmaṇi** (input by Harunaga Isaacson)
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+ - **Cakrapāṇinātha — Bhāvopahārastotra** with Rāmyadeva Bhaṭṭa’s Vivarana (input by Somadeva Vasudeva)
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+ - **Jñānasambhu — Śivapūjāstava** (input by Dominic Goodall)
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+ - **Kalhaṇa — Ardhanārīśvarastotra** (input by Walter Slaje)
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+ - **Śivamahimnastava** (input by Harunaga Isaacson)
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+ - **Utpaladeva — Śivastotrāvali** (input by Somadeva Vasudeva)
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+
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+ ---
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+
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+ ## Tantric and Āgamic Texts
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+
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+ - **Devīkalottara Āgama** (input by Dominic Goodall)
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+ - **Kubjikāmata Tantra** (input by Somadeva Vasudeva)
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+ - **Mālinīvijayottaratantra** (input by Somadeva Vasudeva)
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+ - **Mātṛkābhedatantra** (input by Oliver Hellwig)
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+ - **Kiraṇa Tantra (Chapters 1–6)** with Rāmakaṇṭha commentary (input by Dominic Goodall)
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+ - **Mṛgendrāgama (Mṛgendratantra)** (inputs by Dominic Goodall and Oliver Hellwig)
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+ - **Sārdhatriśatikālottarāgama** (input by Dominic Goodall, corrected by Yang Mei)
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+ - **Svacchanda Tantra / Svacchandabhairava Tantra** (input by Dominic Goodall et al.)
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+ - **Toḍala Tantra** (input by Oliver Hellwig)
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+ - **Uḍḍāmareśvara Tantra** (input by Oliver Hellwig)
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+ - **Vīṇāśikha Tantra** (input by Somadeva Vasudeva)
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+
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+ ---
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+
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+ ## Śaiva Philosophy and Related Works
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+
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+ - **Śivasūtra with Vārttika** (input by Oliver Hellwig)
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+ - **Śiva Upaniṣad** (input by Reinhold Grünendahl)
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+ - **Somānanda — Śāktavijñāna** (input by Oliver Hellwig)
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+ - **Śrīkaṇṭha — Ratnatrayaparīkṣā** (input by Dominic Goodall)
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+
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+ ---
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+
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+ ## Śaiva Ritual and Yoga Texts
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+
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+ - **Paraśurāmakalpasūtra** (input by Claudia Weber)
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+ - **Pāśupatasūtra** (input by Reinhold Grünendahl)
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+ - **Pāśupatasūtra with Kauṇḍinya’s Pañcārthabhāṣya** (input by Oliver Hellwig)
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+
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+ ---
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+ ## Lexicographical and Other Texts
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+
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+ - **Bijanighaṇṭu** (input by Oliver Hellwig)
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+ - **Puruṣottamadeva — Ekākṣarakośa** (input by Oliver Hellwig)
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+
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+ ---
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+ ## Nath and Yogic Texts
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+ - **Gorakṣanātha — Amaraughaśāsana** with commentary (input by Oliver Hellwig)
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+ - **Gorakṣaśataka** (two versions)
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+
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+ ---
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+
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+ ## Regional and Historical Texts
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+
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+ - **Karatoyāmāhātmya** (input by Arlo Griffiths)
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+
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+ ---
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+
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+ ## Classical Sanskrit Works
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+ - **Śaṅkara (attrib.) — Saundaryalaharī** (input by Peter Schreiner)
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+ ---
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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 |
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+ |------|-------------|
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+ | text_name | Name of the source text |
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+ | chapter | Chapter or section |
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+ | verse_no | Verse number |
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+ | sanskrit_transliteration | IAST transliteration |
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+ | sanskrit_devanagari | Devanagari script |
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+
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+ Example:
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+ | text_name | chapter | verse_no | transliteration | devanagari |
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+ |---|---|---|---|---|
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+ | Saundaryalahari | 1 | 1 | śivaḥ śaktyā yukto... | शिवः शक्त्या युक्तो... |
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+
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+ ---
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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
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+ 2. Regex-based verse extraction
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+ 3. Normalization of transliteration (IAST)
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+ 4. Conversion to Devanagari
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+ 5. Standardization of whitespace and punctuation
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+ 6. Conversion to structured DataFrame format
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+ ---
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+ # 🔬 Possible Use Cases
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+ ### Sanskrit NLP
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+ - Sanskrit language models
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+ - Sanskrit embeddings
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+ - Morphological analysis
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+ ### AI Research
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+ - Sanskrit LLM training
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+ - Retrieval-Augmented Generation (RAG)
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+ - Semantic search across scriptures
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+ ### Digital Humanities
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+ - Tantric textual analysis
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+ - Shaiva philosophical studies
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+ - Knowledge graph construction
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+ ---
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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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+ ---
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+ # 👨‍💻 Maintainer
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+ **DataSpoof**
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+ ---
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+ # 🙏 Acknowledgements
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+ Special thanks to:
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+ - GRETIL
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+ - Göttingen State and University Library
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+ - The scholars who digitized and edited these Sanskrit texts
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+ ---