The IDRs approach offers the advantage of being insensitive to AECs since they cancel out when computing the heats of reaction, making it a valuable tool for calculating accurate enthalpies of formation for large molecules such as C 60 and corannulene. Recently, significant advancements have been made in automating the process of finding various types of error-canceling reactions, including IDRs. The recent work of Buerger et al. has shown that these reactions can be systematically and automatically identified, rather than relying on the traditional approach of manual design. This advancement enables the development and integration of high-throughput IDRs calculations into open-source statistical mechanics and thermochemistry software. One problem we have often encountered in practice is that the choice of reference species (a.k.a. the training set) used in the above-mentioned thermo-correction approaches can vary from study to study. This training set inconsistency can cause issues when BACs fitted to a small set of reference molecules are used for species that are not well represented by the original set (e.g., using BACs fitted to only neutral, closed-shell species for charged or open-shell species). The exact species set used in the fitting process is not always reported in the literature, making it difficult to reproduce some previous work. Therefore, in our implementation of the classical thermo-correction methods for comparison, we concurrently address the training set issue by providing a curated, open-source reference species database.