We extracted a set of 1,475 heterocycle formations from 47 scientific publications from 2022 reporting new methodologies for heterocycle synthesis(SI §S11). This dataset (referred to as the Recent dataset) was split randomly into a train, validation and test sets with a ratio of 80:10:10. Further fine-tuning was carried out using the mixed fine-tuning approach, starting from the mixed fine-tuned model and training it for 6,000 steps on the General , Ring and Recent datasets with a 4:4:1 dataset weight ratio.