Sanskrit
Collection
collection of all Sanskrit text, currently at 115K samples • 8 items • Updated • 11
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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
- Repository: huggingface.co/datasets/snskrt/Devi_Bhagavatam
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 titlea_index(int): auxiliary sequence indexm_index(int): main sequence indextext(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.
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