eamag/papers2dataset
AI agents that read papers and create datasets
This project helps researchers, scientists, and analysts quickly gather specific data points that are currently scattered across academic papers. It takes a research goal and an initial set of open-access papers, then uses AI to find related articles, extract the relevant information, and compile it into a structured CSV dataset. It's ideal for anyone who needs to build a custom dataset from published research without the tedious manual extraction.
Use this if you need to create a structured dataset by extracting specific information from a large collection of open-access scientific papers.
Not ideal if your data is already in structured databases or if you need to extract information from copyrighted or restricted-access content.
Stars
21
Forks
2
Language
Python
License
—
Category
Last pushed
Jan 24, 2026
Commits (30d)
0
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