NSF-SciFy: Mining the NSF Awards Database for Scientific Claims

Understand

We introduce NSF-SciFy, a comprehensive dataset of scientific claims and investigation proposals extracted from National Science Foundation award abstracts.

• While previous scientific claim verification datasets have been limited in size and scope, NSF-SciFy represents a significant advance with 2.8 million claims from 400,000 abstracts spanning all science and mathematics disciplines.
• We present two focused subsets: NSF-SciFy-MatSci with 114,000 claims from materials science awards, and NSF-SciFy-20K with 135,000 claims across five NSF directorates.
• Using zero-shot prompting, we develop a scalable approach for joint extraction of scientific claims and investigation proposals.