This archive contains input and data files to obtain the results published in:

    Archetypal landscapes for deep neural networks
    P.C. Verpoort, A.A. Lee, D.J. Wales
    Accepted in: Proceedings of the National Academy of Sciences of the USA

The folder data_files contains the training data (and testing data where
produced) for the energy landscapes reported in the article. The names of the
subfolders correspond to the names given to these datasets in the article.

The LJAT19 dataset was created specifically for this publication, and has not
been reported elsewhere. The other two datasets were taken from the UCI Machine
Learning Repository and can also be obtained from there; links to the original
data source (accessed on April 24th, 2020) are provided in the README files in
each subfolder. For completeness and because these data had to be processed to
serve as inputs for our landscape analysis software, the data files used for
the present work are also contained within this archive.

The folder input_files contains the instruction input files for the GMIN, OPTIM
and PATHSAMPLE programs. This is just a starting point, and more manual
refinement of parameters and connectivity jobs to run is required in order to
fully reproduce the results presented in the article.