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license: other task_categories: - text-classification - text-generation - document-question-answering language: - en - hi tags: - education - india - newspapers - policy - multilingual - government pretty_name: Indian Education E-Newspaper Dataset size_categories: - 100K<n<1M

Indian Education E-Newspaper Dataset

Dataset Description

This dataset contains a comprehensive collection of 432 newspaper articles and associated images related to Indian education policy and initiatives, scraped from the Ministry of Education's Digital Repository.

Dataset Summary

  • Total Files: 877 files
  • Articles: 432 newspaper articles in PDF format
  • Images: 412+ images (thumbnails, logos, illustrations)
  • Time Period: 2016-2021
  • Languages: English, Hindi
  • Source: Ministry of Education Digital Repository
  • Collection Date: 2025-08-06

How to Use This Dataset

Loading the Metadata

import json
import pandas as pd

# Load article metadata
with open("metadata/scrape_metadata.json", 'r') as f:
    data = json.load(f)

# Convert to DataFrame for easy analysis
articles_df = pd.DataFrame(data['articles'])
print(f"Loaded {len(articles_df)} articles")
print(f"Columns: {list(articles_df.columns)}")

# Example: Filter by newspaper
times_of_india = articles_df[articles_df['newspaper'].str.contains('Times of India', na=False)]
print(f"Times of India articles: {len(times_of_india)}")

Accessing Files

from huggingface_hub import hf_hub_download
import os

# Download a specific PDF
pdf_path = hf_hub_download(
    repo_id="cazzz307/indian-education-newspaper-dataset",
    filename="pdfs/Times_of_IndiaMo_nday_-_10th_December_2018_0109_toi.pdf",
    repo_type="dataset"
)

# Download metadata
metadata_path = hf_hub_download(
    repo_id="cazzz307/indian-education-newspaper-dataset",
    filename="metadata/scrape_metadata.json",
    repo_type="dataset"
)

File Structure

πŸ“ Dataset Root
β”œβ”€β”€ πŸ“„ README.md                    # This file
β”œβ”€β”€ πŸ“ pdfs/                        # 432 PDF newspaper articles
β”‚   β”œβ”€β”€ Times_of_India*.pdf
β”‚   β”œβ”€β”€ Indian_Express*.pdf
β”‚   β”œβ”€β”€ The_Hindu*.pdf
β”‚   └── ... (and more newspapers)
β”œβ”€β”€ πŸ“ images/                      # 412+ associated images
β”‚   β”œβ”€β”€ *.jpg (thumbnails 246x240px)
β”‚   └── *.png (logos and graphics)
└── πŸ“ metadata/
    └── πŸ“„ scrape_metadata.json     # Complete article metadata

Use Cases

πŸ”¬ Research Applications

  • Education Policy Analysis: Study trends in Indian education initiatives over time
  • Media Coverage Studies: Analyze how different newspapers cover education topics
  • Multilingual NLP: Process both Hindi and English education-related content
  • Timeline Analysis: Track education policy evolution from 2016-2021
  • Sentiment Analysis: Analyze public sentiment toward various education initiatives

πŸ› οΈ Technical Applications

  • PDF Text Extraction: Practice OCR and text mining on newspaper PDFs
  • Image Classification: Classify education-related images and graphics
  • Named Entity Recognition: Extract education institutions, policies, and key figures
  • Document Classification: Categorize articles by topic, sentiment, or newspaper
  • Multi-modal Learning: Combine text and image data for richer analysis

Data Fields

Each article in metadata/scrape_metadata.json includes:

Field Description Example
title Article headline "From Media"
newspaper Publication name "Times of India"
date Publication date "Monday - 10th December, 2018"
pdf_url Original source URL "https://repository.education.gov.in/wp-content/..."
article_url Web article link "https://timesofindia.indiatimes.com/..."
summary Brief content excerpt "Govt school transformation helped Delhi..."

Major Publications Included

  • Times of India - 50+ articles
  • Indian Express - 40+ articles
  • The Hindu - 35+ articles
  • Hindustan Times - 45+ articles
  • Dainik Jagran - 30+ articles (Hindi)
  • Nav Bharat Times - 25+ articles (Hindi)
  • Business Standard - 15+ articles
  • India Today - 20+ articles
  • And many more regional publications

Quality & Limitations

βœ… Strengths

  • Verified Sources: All content from official government repository and established newspapers
  • Comprehensive Metadata: Detailed information for each article
  • Multilingual: Covers both English and Hindi publications
  • Time Span: 5-year coverage (2016-2021) showing policy evolution
  • Diverse Topics: Wide range of education initiatives and policies

⚠️ Limitations

  • OCR Required: Articles are in PDF format and may require text extraction
  • Image Quality: Thumbnails are low resolution (246x240px typically)
  • Metadata Completeness: Some fields may be incomplete due to source formatting
  • File Sizes: Large dataset (~230MB) may require good internet connection
  • Language Processing: Hindi text may need special handling for NLP tasks

Licensing & Ethics

This dataset contains content from various Indian newspapers and the Ministry of Education:

  • βœ… Source: Official government publications and verified news sources
  • βœ… Usage: Recommended for educational and research purposes
  • ⚠️ Copyright: Users should respect original copyright holders
  • ⚠️ Citation: Please cite original sources when using content
  • ⚠️ Fair Use: Comply with fair use guidelines

Citation

If you use this dataset in your research, please cite:

@dataset{indian_education_newspapers_2025,
  title={Indian Education E-Newspaper Dataset},
  author={Ministry of Education Digital Repository},
  year={2025},
  url={https://huggingface.co/datasets/cazzz307/indian-education-newspaper-dataset},
  note={Scraped from official government repository, covering 2016-2021},
  publisher={Hugging Face}
}

Dataset Statistics

  • Total Articles: 432
  • Total Files: 877
  • Dataset Size: ~230 MB
  • Languages: English (70%), Hindi (30%)
  • Time Period: 2016-2021
  • Collection Date: 2025-08-06

This dataset serves as a valuable resource for researchers, educators, and developers interested in Indian education policy, media analysis, and multilingual NLP applications.

Contact & Support

For questions about this dataset or to report issues:

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