A benchmark corpus of 6,086 records was manually extracted from 835 electrocatalytic publications, along with an extended corpus with 145,179 records in this article. In this corpus, nine types of knowledge such as material, regulation method, product, faradaic efficiency, cell setup, electrolyte, synthesis method, current density, and voltage are provided by either annotating or extracting. Machine learning algorithms can be applied to the corpus to help scientists find new and effective electrocatalysts.  

A corpus of CO₂ electrocatalytic reduction process extracted from the scientific literature. Scientific Data 2023, 10 (1), 175.