Hugging Face's logo

Datasets:
snskrt
/
Devi_Bhagavatam

Tasks:
Feature Extraction
Text Classification
Token Classification
Languages:
Sanskrit
Size:
10K<n<100K
Tags:
code
License:
Dataset card Data Studio Files
xet
Community
Devi_Bhagavatam / README.md
13Aluminium's picture
13Aluminium
Update README.md
c9f954a verified
preview code
|
raw
history blame contribute delete
2.68 kB
metadata
license: apache-2.0
task_categories:
  - feature-extraction
  - text-classification
  - token-classification
  - translation
  - summarization
  - text-generation
  - text2text-generation
  - question-answering
language:
  - sa
tags:
  - code
pretty_name: Śrīmad Devī-bhāgavatam
size_categories:
  - 10K<n<100K

Dataset Card for srimad_devi_bhagavata_mahapurana

Dataset Details

Dataset Description

This dataset contains a complete, structured representation of the Śrīmad Devī-bhāgavatam mahāpurāṇe in CSV format, broken down into Skandas, Adhyāyas, and individual ślokas. It is designed for NLP applications—including feature extraction, classification, translation, summarization, question-answering, and generation—on classical Sanskrit scripture.

  • Curated by: Aluminium
  • Organization: Snskrt
  • Shared by: Snskrt
  • Language(s): Sanskrit (ISO code: sa)
  • License: Apache-2.0
  • Size: ~18,702 ślokas

Dataset Sources

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:

  • skanda (string): Skanda number, e.g. "1"
  • adhyaya_number (string): Adhyāya index, e.g. "१.१"
  • adhyaya_title (string): Sanskrit chapter title
  • a_index (int): auxiliary sequence index
  • m_index (int): main sequence index
  • text (string): full śloka text

Dataset Creation

Curation Rationale

To provide researchers with a fully parsed, program-friendly version of the Devi-Bhāgavata Mahāpurāṇa for a wide range of NLP tasks.

Source Data

Data Collection and Processing

  • Raw Sanskrit text obtained from the critical editions of Śrīmad Devī-bhāgavatam
  • Parsed into JSON via custom Python scripts
  • Converted to CSV with per-Skanda/Adhyāya logging

Who are the source data producers?

Original Purāṇic verses attributed to Vyāsa; digital encoding by Snskrt.

Bias, Risks, and Limitations

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