diff --git a/TODO.txt b/TODO.txt
index c20e901..90f3301 100644
--- a/TODO.txt
+++ b/TODO.txt
@@ -1,7 +1,8 @@
 sample_size should not be mandatory when qp.environ['SAMPLE_SIZE'] has been specified
 clean all the cumbersome methods that have to be implemented for new quantifiers (e.g., n_classes_ prop, etc.)
 make truly parallel the GridSearchQ
-abstract protocols
+make more examples in the "examples" directory
+merge with master, because I had to fix some problems with QuaNet due to an issue notified via GitHub!
 
 
 Packaging:
diff --git a/quapy/CHANGE_LOG.txt b/quapy/CHANGE_LOG.txt
index 095bb76..6bef8b0 100644
--- a/quapy/CHANGE_LOG.txt
+++ b/quapy/CHANGE_LOG.txt
@@ -9,7 +9,7 @@
 
 - ACC, PACC, Forman's threshold variants have been parallelized.
 
-- Exploration of hyperparameters in Model selection can now be run in parallel (it was a n_jobs argument in
+- Exploration of hyperparameters in Model selection can now be run in parallel (there was a n_jobs argument in
     QuaPy 0.1.6 but only the evaluation part for one specific hyperparameter was run in parallel).
 
 - The prediction function has been refactored, so it applies the optimization for aggregative quantifiers (that
@@ -20,6 +20,8 @@
 
 - n_jobs is now taken from the environment if set to None
 
+- examples directory created!
+
 Things to fix:
 - clean functions like binary, aggregative, probabilistic, etc; those should be resolved via isinstance():
     this is not working; I don't know how to make the isinstance work. Looks like there is some problem with the