A large scale benchmark resource for data driven steel materials design
This paper introduces SteelProBench, a large-scale, high-fidelity benchmark dataset of over 14,000 traceable steel records constructed via a collaborative multi-LLM pipeline, which enables reliable AI-driven materials design by bridging the gap between scattered literature data and reproducible model development.