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README.md
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dataset_size: 18919236673
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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task_categories:
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- text-classification
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- text-generation
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language:
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- en
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tags:
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- academic-papers
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- virology
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- nuclear-physics
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- cybersecurity
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- astrophysics
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- grobid
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size_categories:
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- 100K<n<1M
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---
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# Dual-Use Papers Dataset
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A large-scale collection of academic papers converted to Markdown, spanning multiple scientific domains relevant to dual-use research.
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## Dataset Description
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This dataset contains ~360k+ full-text academic papers sourced from Europe PMC, arXiv, and DOE OSTI, processed into clean Markdown using [GROBID](https://github.com/kermitt2/grobid).
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### Columns
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| Column | Type | Description |
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|--------|------|-------------|
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| `category` | `string` | High-level topic: `biology`, `nuclear`, `cyber`, `astrophysics` |
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| `source` | `string` | Specific origin (see below) |
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| `url` | `string` | URL of the source PDF |
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| `text` | `string` | Full paper text in Markdown format |
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### Sources
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| Source | Category | Description |
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|--------|----------|-------------|
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| `europe-pmc` | biology | Virology papers from Europe PMC (1990–2026) |
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| `osti` | nuclear | DOE technical reports, journal articles, books, theses |
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| `arxiv_cs.CR` | cyber | Cryptography and Security |
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| `arxiv_cs.NI` | cyber | Networking and Internet Architecture |
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| `arxiv_cs.OS` | cyber | Operating Systems |
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| `arxiv_nucl-th` | nuclear | Nuclear Theory |
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| `arxiv_nucl-ex` | nuclear | Nuclear Experiment |
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| `arxiv_astro-ph` | astrophysics | Astrophysics (all subcategories, 2020+) |
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The category `astrophysics` is included as a control to provide papers of a similar format as the rest, without being dual use.
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### Data Collection
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- **Europe PMC**: Papers matching `Virology AND (HAS_FT:Y) AND (FIRST_PDATE:[1990 TO 2026])` via the Europe PMC REST API.
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- **arXiv**: Papers from specified categories via the arXiv search API, paginated by year windows.
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- **OSTI**: Full-text papers from DOE OSTI.gov matching semantic query "weapon" across Journal Articles, Technical Reports, Books, Program Documents, and Theses/Dissertations.
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### Processing Pipeline
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1. **Metadata collection** — PDF URLs and metadata gathered from each source's API
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2. **PDF download + GROBID conversion** — PDFs downloaded ephemerally, converted to TEI XML via GROBID, then transformed to Markdown
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3. **Dataset assembly** — Markdown files joined with metadata, filtered to only include successfully converted papers
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### Text Format
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Each `text` field contains structured Markdown with:
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- Paper title (H1)
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- Author list
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- Abstract (H2)
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- Body sections with headings
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- Figures/tables (as blockquotes)
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- Formulas (LaTeX)
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- Numbered references
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## Licensing
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This dataset is distributed under CC-BY-4.0 for the dataset structure and metadata. However, each individual text inherits the license of its original source publication. Users should consult the original source (via the `url` field) to determine the specific license terms for any given paper before redistribution or commercial use.
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## Limitations
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- Text quality depends on GROBID's ability to parse each PDF; some papers (especially scanned/image-heavy ones) may have lower quality output.
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- Not all papers from each source have successfully converted Markdown — only those with non-empty conversions are included.
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- arXiv astrophysics papers are limited to 2020 onwards.
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