dual-use-papers / README.md
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Add dual-use-papers dataset (category, source, url)
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metadata
task_categories:
  - text-classification
language:
  - en
tags:
  - dual-use
  - gradient-routing
  - modular-pretraining
size_categories:
  - 100K<n<1M

Dual-Use Papers (metadata only)

A curated collection of academic papers labeled by subject-matter category. Built for research on dual-use capabilities in LLMs.

Schema

Column Type Description
category string Topic label (see mapping below)
source string Provenance tag, e.g. europe-pmc, arxiv_cs.CR, osti
url string URL to the original PDF

Category Mapping

Source Category
Europe PMC biology
OSTI nuclear
arXiv nucl-th, nucl-ex nuclear
arXiv cs.CR, cs.NI, cs.OS cyber
arXiv (all other categories) other

Statistics

Total rows: 415,119

Category Rows
biology 192,403
cyber 49,806
nuclear 79,351
other 93,559
Source Rows
europe-pmc 192,403
osti 31,963
arXiv (cyber) 49,806
arXiv (nuclear) 47,388
arXiv (other) 93,559

Sources

  • Europe PMC — Open-access biomedical and life-science literature from europepmc.org.
  • arXiv — Preprints across physics, mathematics, computer science, and more from arxiv.org. Dual-use categories (cyber, nuclear) are collected exhaustively from 1991 to the present. Other categories are sampled and balanced to match the dual-use count.
  • OSTI — Technical reports and journal articles from the U.S. Department of Energy's Office of Scientific and Technical Information.

Processing

  1. Metadata is collected via source-specific APIs (arXiv, Europe PMC, OSTI).
  2. arXiv "other" papers are shuffled and truncated so their count exactly matches the number of dual-use arXiv papers.

Usage

from datasets import load_dataset

ds = load_dataset("AE-data/dual-use-papers", split="train")
print(ds)
print(ds[0]["category"], ds[0]["url"])

Note

This dataset is intended solely for safety and scientific research purposes.