The Searching Chemical Action and Network (SCAN) dataset utilized in this study is a collection of large-scale chemical reaction path networks generated using quantum chemistry with the AFIR approach. This dataset includes from thousands to over ten thousand local equilibrium structures (EQs), that is, local minimum structures, and from thousands to over twenty thousand reaction paths, each connecting an EQ pair with one transition state, for seven well-known chemical reactions. Among them, the Passerini and Strecker reactions are particularly examined. Strecker reaction networks to a two-dimensional space. The horizontal axis represents the relative energy of each EQ to the lowest energy EQ, while the vertical axis indicates the structural similarity between the given EQ and the product EQ which is the goal node in this research problem (structural similarity is defined in Section 3). The colormap represents the minimum value among all the time constants of possible (sequential) reaction pathways from the start node to each EQ node. Here, the time constant of reaction pathway is defined as the time constant of rate-limiting step, i.e., the reaction path that has the highest energy barrier among all the reaction paths included in each reaction pathway. The time constant of reaction path is the inverse of the rate constant calculated using transition state theory for each reaction path. ii an energy range of 0 -1,000 kJ/mol, with a major peak near 300 kJ/mol. The structural similarity distribution peaks at approximately 60 (arb. unit). The start node, representing the structure of four reactant species, is near both the energy and similarity peaks. The goal node, representing two product species, is in a low-population region possessing an energy of nearly 110 kJ/mol and a structural similarity of 0.0. This network includes 18,202 reaction paths, with kinetically accessible EQs -where the rate-limiting step has a time constant of shorter than one day, that is, approximately 10 5 seconds (sec)-primarily in lower-energy regions, and widely distributed structural similarity.