The entire data set has nearly 7.8 million data points. However, it is unlikely that every reaction-solvent pair is needed since the total number of unique reactions and solvents would remain fixed even if the number of reaction-solvent pairs increases. To investigate the effect of the data size on the model performance, we prepared 8 different data sets containing 10k, 50k, 75k, 100k, 250k, 500k, 750k, and 1M data points. These data are sampled in a semi-random manner such that all reactions and solvents appear in the data sets at least once, except the 10k set which has fewer data than the total number of reactions. From the results, we determined 500k to be the optimal data set size for the model as explained further in the results section.