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  ---
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- dataset_info:
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- features:
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- - name: category
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- dtype: string
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- - name: source
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- dtype: string
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- - name: url
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- dtype: string
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- - name: text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 18919236673
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- num_examples: 419423
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- download_size: 9671508278
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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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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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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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+
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+ # Dual-Use Papers Dataset
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+
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ### Columns
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+
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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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+
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+ ### Sources
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+
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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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+
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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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+
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+ ### Data Collection
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+
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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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+
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+ ### Processing Pipeline
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+
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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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+
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+ ### Text Format
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+
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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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+
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+ ## Licensing
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+
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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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+
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+ ## Limitations
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+
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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.