AI RESEARCH

Paper2Data: Large-Scale LLM Extraction and Metadata Structuring of Global Urban Data from Scientific Literature

arXiv CS.AI

ArXi:2604.16317v1 Announce Type: cross Urban data a wide range of applications across multiple disciplines. However, at the global scale, there is no unified platform for urban data discovery. As a result, researchers often have to manually search through websites or scientific literature to identify relevant datasets. To address this problem, we curate an open urban data discovery portal, \textit{UrbanDataMiner}, which s dataset-level search and filtering over than 60{,}000 urban datasets extracted from over 15{,}000 Nature-affiliated publications.