Folmsbee and Hutchison published a significant study investigating conformational energies using various computational methods, including ab initio, semi-empirical QM, force field, and machine learning methods such as the ANI family. They collected up to 10 conformations for approximately 700 molecules, resulting in over 6,500 molecular geometries. These geometries were obtained via dispersion-corrected DFT-D3 geometry optimizations, with high-quality DLPNO-CCSD(T) triple-zeta energies calculated and published as reference energies. I downloaded their geometries and results from their GitHub site and extended the study with the following additions: