To build reliable prediction models, the generated data points are also divided into a training set and a validation set using the hierarchical random sampling by a ratio of 9:1, i.e., the ratio of the two datasets in each of the specified temperature interval keeps unchanged. The reactions with only one or few raw rate constants are taken as the prediction set. The three datasets are labelled as "DGALL".