| # 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**: 1685 | |
| - **Scraping Date**: 2025-12-12 | |
| ### Content Summary | |
| - **Main Figures**: 8788 (5.2 per article) | |
| - **Tables**: 689 (0.4 per article) | |
| - **Supplementary Figures**: 13260 (7.9 per article) | |
| - **Supplementary Tables**: 2795 (1.7 per article) | |
| - **Supplementary Files**: 14588 (8.7 per article) | |
| - **Sections**: 35630 (21.1 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 | |
| ```python | |
| 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: 2025-12-12 | |
| Repository: https://huggingface.co/datasets/ZexiK/natcomSS | |