diff --git a/Makefile b/Makefile
index b914a01c7069b92cb727e87a55fb8c6d4cd35d5c..792309de70c434184adb2b69d6dc3e9c84fb995d 100644
--- a/Makefile
+++ b/Makefile
@@ -1,6 +1,5 @@
 PKGNAME=orcasong
 ALLNAMES = $(PKGNAME)
-ALLNAMES += orcasong_contrib
 
 
 install:
diff --git a/docs/getting_started.rst b/docs/getting_started.rst
index 7811b3bade32630f18dc9b5a35124c3ad0434042..fd0babb55508d32ba7aac79a541e5e7066d26773 100644
--- a/docs/getting_started.rst
+++ b/docs/getting_started.rst
@@ -28,12 +28,6 @@ instructions on how to do this.
 
 The resulting DL files can already be used as input for networks!
 
-Step 2.2: Quickly define which files to concatenate
----------------------------------------------------
-If wanted, a list with all DL files that should go into one specific file
-can be produced with :ref:`make_data_split`. Here, the directories and run_ids
-making up the train and validation sets can be set in a config.
-
 Step 3: Concatenate
 -------------------
 Mandatory for training files, recommended for everything else.
@@ -47,6 +41,10 @@ See :ref:`concatenate` for details.
     X runs for your training set. Instead, choose runs randomly over
     the whole period.
 
+.. note::
+    For mixing e.g. neutrinos and muon, a list with all DL files that should
+    go into one specific file
+    can be produced with :ref:`make_data_split`.
 
 Step 4: Shuffle
 ---------------
diff --git a/docs/tools.rst b/docs/tools.rst
index e49e1702f0211fb0e8c8742e6bad62924b4e32bf..022f9809cab5d1ec0ad1467ebdbb54699bd9caab 100644
--- a/docs/tools.rst
+++ b/docs/tools.rst
@@ -8,9 +8,18 @@ Orcasong comes with some tools to further process data.
 Make_data_split
 ---------------
 
-Create datasets for different tasks (like classification or regression) from the files resulting from OrcaSong, based on the run_id. This is particularly helpful for a run-by-run data analysis or to generate equally large datasets per class. A toml config is used, in which the directories and ranges of runs to be considered can be specified, as well as the subdivision into training and validation sets. Detailed descriptions for the options available can be found in the example config in the subfolder make_data_split_configs. As output, a list in txt format with the filepaths belonging to one set is created that can be passed to the concatenate for creating one single file out of the many. 
-
-In fact, with the option make_qsub_bash_files, scripts for the concatenation and shuffle, to be directly submitted on computing clusters, are created.
+Create datasets for different tasks (like classification or regression) from the files
+resulting from OrcaSong, based on the run_id. This is particularly helpful
+for a run-by-run data analysis or to generate equally large datasets per class.
+A toml config is used, in which the directories and ranges of runs to be considered
+can be specified, as well as the subdivision into training and validation sets.
+Detailed descriptions for the options available can be found in examples/make_data_split_config.toml.
+As output, a list in txt format with
+the filepaths belonging to one set is created that can be passed to the concatenate
+for creating one single file out of the many.
+
+In fact, with the option make_qsub_bash_files, scripts for the concatenation
+and shuffle, to be directly submitted on computing clusters, are created.
 
 Can be used via the commandline::
 
@@ -60,4 +69,4 @@ or import function for general postprocessing:
     postproc_file(output_filepath_concat)
 
 
-
+Theres also a faster (beta) version available called h5shuffle2.
diff --git a/orcasong/tools/make_data_split_configs/example_make_data_split_config.toml b/examples/make_data_split_config.toml
similarity index 100%
rename from orcasong/tools/make_data_split_configs/example_make_data_split_config.toml
rename to examples/make_data_split_config.toml
diff --git a/orcasong_contrib/__init__.py b/orcasong_contrib/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/setup.py b/setup.py
index 100ea4c680088b19837952c19fe7722c0d91447e..e7c332088b59198ce2b17a74e404d3e8b8bb0eb4 100644
--- a/setup.py
+++ b/setup.py
@@ -30,9 +30,9 @@ setup(
         'concatenate=orcasong.tools.concatenate:main',
         'h5shuffle=orcasong.tools.postproc:h5shuffle',
         'h5shuffle2=orcasong.tools.shuffle2:run_parser',
+        'make_dsplit=orcasong.tools.make_data_split:main',
         'plot_binstats=orcasong.plotting.plot_binstats:main',
-        'make_nn_images=legacy.make_nn_images:main',
-        'make_dsplit=orcasong_contrib.data_tools.make_data_split.make_data_split:main']}
+    ]}
 )
 
 __author__ = 'Stefan Reck, Michael Moser, Daniel Guderian'