Flagel, LexBrandvain, YanivSchrider, Daniel2018-07-252018-07-252018-07-25https://hdl.handle.net/11299/198335Each file is a numpy "npz" file. More details here: https://docs.scipy.org/doc/numpy/reference/generated/numpy.savez.html And contains separate test, validate, and training data sets, for both the input data and response.Large neural network training data sets. The corresponding code for training can be found here: https://github.com/flag0010/pop_gen_cnn Both the data sets and code are associated with this paper: https://www.biorxiv.org/content/early/2018/05/31/336073CC0 1.0 Universaldeep neural networkpopulation geneticsData from: The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic InferenceDatasethttps://doi.org/10.13020/D65M4P