  We introduce a new version of the database SC1MC (SC1MC-2022), obtained by
extension of the recent SC1MC-2020, which includes artificial mono transition
metal complexes. The database involves reference data used as inputs for
training of machine learning models, one- and two-site entropies, and mutual
information obtained at the DMRG level for canonical and split-localised
orbitals. The purpose of this database is to obtain as much as possible
information about the electronic correlation structure, which could be
exploited by machine learning models to estimate these important information
without a significant computational cost for any similar type of systems with
some degree of transferability.
