docs

Readme.rst

@@ -17,26 +17,24 @@ OrcaSong: Preprocessing KM3NeT data for DL
     :alt: Codacy Badge
     :target: https://www.codacy.com/app/sreck/OrcaSong?utm_source=github.com&utm_medium=referral&utm_content=StefReck/OrcaSong&utm_campaign=Badge_Grade
 
-
-The documentation for OrcaSong can be found at https://ml.pages.km3net.de/OrcaSong!
-
-OrcaSong is a part of the Deep Learning efforts of the neutrino telescope KM3NeT.  
-Find more information about KM3NeT on http://www.km3net.org.
-
-In this regard, OrcaSong is a project that preprocesses raw KM3NeT detector data
+OrcaSong is a project for preprocessing raw KM3NeT ORCA or ARCA event data
 for the use with deep neural networks, making use of km3nets data processing
 pipline km3pipe. Two different modes are available:
 
 - For convolutional networks: produce n-dimensional 'images' (histograms)
 - For graph networks: produce a list of nodes, each node representing infos about a hit in the detector
 
-Currently, only simulations with a hdf5 data format are supported as an input.
+The input to Orcasong are offline/aanet root files, and the output are "DL" files
+in the hdf5 format, which can e.g. be used by the OrcaNet software.
+For more info, read the documentation here https://ml.pages.km3net.de/OrcaSong!
+
+OrcaSong is a part of the Deep Learning efforts of the neutrino telescope KM3NeT.
+Find more information about KM3NeT on http://www.km3net.org.
 
 OrcaSong can be installed via pip by running::
 
     pip install orcasong
 
-
 You can get a list of all the bash commands in orcasong by typing::
 
     orcasong --help