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Indian Government Scholarships Dataset
This dataset is a collection of official sample PDF documents pertaining to various scholarship schemes offered by the Government of India. It is designed for use in Natural Language Processing (NLP), Document Classification, and Retrieval-Augmented Generation (RAG) tasks.
Dataset Summary
The dataset consists sample of PDF files sourced from various government portals (like AICTE, National Scholarship Portal, etc.). Each document is paired with its original filename, a descriptive label of the scheme, and the extracted raw text for quick indexing.
Dataset Structure
The dataset follows the pdffolder format. The main entry point is the metadata.csv file which maps the binary PDF data to its respective metadata.
Data Fields
file_name: (PDF) The binary content of the PDF document.label: (String) The category or name of the scholarship scheme (e.g., "AICTE PRAGATI FAQ").text: (String) The raw text content extracted from the PDF for search and LLM processing.
Example Row
| file_name | label | text |
|---|---|---|
AICTE_2010_F.pdf |
AICTE PRAGATI FAQ | "PRAGATI SCHOLARSHIP SCHEME FOR GIRL STUDENTS..." |
Use Cases
- RAG Applications: Building chatbots that answer questions about scholarship eligibility.
- Classification: Training models to categorize government circulars.
- OCR Testing: Testing PDF text extraction pipelines on official Indian government document layouts.
Maintenance and Updates
This dataset is maintained by the NetraVerse team. It is intended for educational and research purposes during the RAG-WORKSHOP.
Licensing Information
The documents included are public domain government circulars, typically released under the Open Data License (India) or Apache 2.0 for the metadata wrapper.
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