Synthetic flat ntuples in the ROOT data format

<p>These two datasets contain flat ntuples in the ROOT data format, synthetically produced using a ROOT macro. ROOT is the typical data format for storing High Energy Physics (HEP) data. In the ROOT context, a flat ntuple stores data not in the form of C++ object but each branch contains simple numbers (e.g. floating point numbers, integers) or vectors whose dimension might vary on an event-by-event basis.</p> <p>The two datasets have similar content and we distinguish them by adding the suffix <em>bkg</em> and <em>sgn</em> which stands for background and signal. There is no specific physics meaning behind these data. The two datasets contain both 5M of events and&nbsp;50 branches, of which 10 contain integers, 10 floating point numbers, 10 vectors of integers, and 20 vectors of floating point numbers. The distributions used to fill the datasets are: gaussian, uniform, and exponential. The two datasets differ only on the content of two branches filled with vectors of floating point numbers, where a different mean and standard deviation have been set.</p> <p>These datasets have been produced to test the performance of the MLaaS4HEP framework.&nbsp;More info on the MLaaS4HEP framework in <a href="https://doi.org/10.1007/s41781-021-00061-3">https://doi.org/10.1007/s41781-021-00061-3</a></p>