The dataset was collected from the MatNavi database of National Institute of Materials Science (NIMS) of Japan. MatNavi is one of the world largest material databases, including polymer, ceramics, alloys, electronic structure, superconducting materials, composite and diffusion database. Here, a dataset of 437 metal fatigue strengths with different type of metals were collected, including carbon steel and low alloy steel, carburizing steel and spring steel, etc., under different test conditions such as ingredients, technological processing of upstream rolled production characteristics and downstream heat treatment. 21 features were used for the target property of metal fatigue strength. The features are attributes of the selected alloy steels and post-processing technology, including processing parameters (NT, THT, THQCr, CT, DT, Dt, QmT, TT, TCr, Ct, Tt, THt) and composition parameters (C, Si, Mn, P, S, Ni, Cr, Cu, Mo).

NT: Normalizing Temperature; THT: Through Hardening Temperature; THQCr: Cooling Rate for Through Hardening; CT: Carburization Temperature; DT: Diffusion Temperature; Dt: Diffusion Time; QmT: Quenching Media Temperature; TT: Tempering Temperature; TCr: Cooling Rate for Tempering; C: Atomic fraction of C; Si: Atomic fraction of Si; Mn: Atomic fraction of Mn; P: Atomic fraction of P; S: Atomic fraction of S; Ni: Atomic fraction of Cr; Cr: Atomic fraction of Cr; Cu: Atomic fraction of Cu; Mo: Atomic fraction of Mo; Ct: Carburization Time; Tt: Tempering Time; THt: Through Hardening Time;