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Nature Communications Articles Dataset - natcomm_2512_001

Dataset Description

This dataset contains scraped Nature Communications articles with comprehensive extraction of:

  • Main figures with captions and citations
  • Tables with full HTML and data
  • Supplementary figures with citation contexts
  • Supplementary tables with citation contexts
  • Supplementary files (PDFs, Excel files)
  • Article sections with hierarchical structure (h2=section, h3=subsection)
  • Figure/table citation contexts linking to sections

Dataset Structure

Files

  • images_tables_natcomm_2512_001.zip: Contains all article images and tables

    • files/[article_id]/images/: Main figure images
    • files/[article_id]/tables/: Table HTML files
  • metadata_natcomm_2512_001.zip: Contains JSON metadata for each article

    • metadata/[article_id].json: Complete metadata including:
      • article_id: Article identifier
      • url: Original article URL
      • title: Article title
      • image_set: Dict of main figures with captions and citations
      • table_set: Dict of tables with captions and data
      • supplementary_image_set: Dict of supplementary figures with citations
      • supplementary_table_set: Dict of supplementary tables with citations
      • supplementary_files: List of supplementary file links
      • section_set: Dict of article sections with hierarchical structure

Statistics

  • Total Articles: 277
  • Scraping Date: 2025-12-11

Content Summary

  • Main Figures: 1182 (4.3 per article)
  • Tables: 105 (0.4 per article)
  • Supplementary Figures: 1605 (5.8 per article)
  • Supplementary Tables: 322 (1.2 per article)
  • Supplementary Files: 2211 (8.0 per article)
  • Sections: 4876 (17.6 per article)

Features

Section Hierarchy

Each section includes:

  • level: 2 (h2 main section) or 3 (h3 subsection)
  • type: "section" or "subsection"
  • title: Section heading
  • content: Full section text

Excluded Metadata Sections

Administrative sections are filtered out:

  • Acknowledgements, Author information, Contributions
  • Peer review, Ethics declarations, Rights and permissions
  • Similar content recommendations

Citation Tracking

Each figure/table has contexts array with:

  • section: Section title where cited
  • text: ±100 character context around citation
  • full_content: Complete section content

Usage

import json
import zipfile

# Load article metadata
with open('metadata_natcomm_2512_001/metadata/s41467-025-65722-y.json', 'r') as f:
    article = json.load(f)

# Access sections with hierarchy
for sec_id, sec_info in article['section_set'].items():
    if sec_info['level'] == 2:
        print(f"Section: {sec_info['title']}")
    else:
        print(f"  Subsection: {sec_info['title']}")

# Access figures with citations
for fig_id, fig_info in article['image_set'].items():
    print(f"{fig_id}: {fig_info['caption']}")
    print(f"  Cited in: {[c['section'] for c in fig_info['contexts']]}")

Version Notes

natcomm_2512_001 (December 2025):

  • Fixed section extraction to exclude recommendation sections
  • Added section hierarchy tracking (h2/h3 levels)
  • Improved metadata section filtering
  • Enhanced supplementary material citation tracking

License

This dataset is derived from Nature Communications articles. Please respect original article licenses and cite appropriately.

Created By

Batch Name: natcomm_2512_001 Scraping Tool: Nature Communications Comprehensive Scraper Date: 2025-12-11 Repository: https://huggingface.co/datasets/ZexiK/natcomSS