Sampling in conventional MD data sets like MD17 and rMD17 is often biased towards a narrow region of the potential energy surface (PES), primarily focusing on equilibrium structures. This limited exploration restricts the ability of neural force fields (NFFs) to accurately model chemical reactions involving significant molecular deformations, such as bond breaking. To address these limitations, Pengmei et al. introduced the extended excited-state molecular dynamics (xxMD) data set. Similar to MD17, xxMD targets small to mediumsized gas-phase molecules but includes nonadiabatic trajectories to capture the dynamics of excited electronic states. This approach allows xxMD to encompass a broader range of nuclear configurations, including those essential for chemical reactions, such as transition states and products. Additionally, xxMD covers regions near conical intersections, which are critical for determining reaction pathways across different electronic states.