---
license: apache-2.0
task_categories:
- feature-extraction
- text-classification
- token-classification
- translation
- text-generation
- summarization
- text2text-generation
language:
- sa
tags:
- code
pretty_name: Śihva Mahāpurāṇa
size_categories:
- 10K<n<100K
---
# Dataset Card for Shiv_Mahapuran

## Dataset Details

### Dataset Description

This dataset contains a complete, structured representation of the Śiva Mahāpurāṇa (often called Śivapurāṇa) in CSV format. It is broken down into Saṃhitās (seven surviving Saṃhitās), Khaṇḍas, Adhyāyas, and individual ślokas, enabling fine-grained NLP work on classical Sanskrit scripture.
- **Curated by:** [Aluminium](https://huggingface.co/13Aluminium)  
- **Organization:** [Snskrt](https://huggingface.co/snskrt)  
- **Shared by:** [Snskrt](https://huggingface.co/snskrt)  
- **Language(s):** Sanskrit (ISO code: sa)  
- **License:** Apache-2.0  
- **Size:** ~24,489 ślokas 

### Dataset Sources

- **Repository:** [huggingface.co/datasets/snskrt/Shiv_Mahapuran](https://huggingface.co/datasets/snskrt/Shiv_Mahapuran)  

## Uses

### Direct Use

- Training and evaluating Sanskrit language models on classical hymn/text generation  
- Building Sanskrit question-answering systems over Purāṇic content  
- Machine translation between Sanskrit and modern languages  
- Summarization and feature extraction of mythological scripture  

### Out-of-Scope Use

- Modern colloquial or conversational Sanskrit tasks  

## Dataset Structure

Each record in the CSV/JSON has these fields:

- `samhita` (string): Name of the Saṃhitā, e.g. `"Rudrasaṃhitā"`  
- `khanda` (string): Khanda name, e.g. `"Parvati kand"`  
- `khanda_number` (string): Khanda name, e.g. `"1"`  
- `adhyay` (string): Adhyāya title or number, e.g. `"1.1"`    
- `shloka_number` (int): Position of the śloka within the Adhyāya  
- `shloka_text` (string): Full Sanskrit text of the śloka  

## Dataset Creation

### Curation Rationale

To supply researchers and developers with a fully parsed, program-friendly version of the Śiva Mahāpurāṇa, facilitating a range of NLP tasks on one of Hinduism’s major Purāṇas.
### Source Data

#### Data Collection and Processing

- Raw Sanskrit text sourced from critical editions of the Śiva Mahāpurāṇa  
- Divided into JSON Saṃhitā → Khanda → Adhyāya → śloka hierarchy  
- Converted to CSV via Python scripts, preserving khanda-level structure and normalizing field names  

#### Who are the source data producers?

Original verses are attributed to Vyāsa; digital encoding and structuring by Snskrt.

## Bias, Risks, and Limitations

- Classical text only—no modern translations or commentary included.  
- Possible editorial or typographical errors from digitization.

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