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 ## Generating DL images based on KM3NeT-ORCA neutrino simulation data 
 
-This directory contains code that produces 2D/3D/4D histograms ('images') for CNNs based on raw MC h5 files.
+OrcaSong is a project that produces 2D/3D/4D histograms ('images') for deep neural networks based on raw MC h5 files.
+Currently, only ORCA detector simulations are supported, but ARCA geometries can be easily implemented as well.
 
-The main code for generating the images is located in 'h5_data_to_h5_input.py'. <br>
+The main code for generating the images is located in orcanet/h5_data_to_h5_input.py. <br>
 If the simulated .h5 files are not calibrated yet, you need to specify the directory of a .detx file in 'h5_data_to_h5_input.py'.
 
 Currently, a bin size of 11x13x18x60 (x/y/z/t) is used for the final ORCA detector layout.