diff --git a/README.md b/README.md
index c91ddbc3dad7cb79dc0bc6ca9fef100a5cc7dd88..47a53bf019219f0d1cc6f1df16a629b45229b17d 100644
--- a/README.md
+++ b/README.md
@@ -6,17 +6,37 @@
 
 Should be available by default on the IC Cluster. Otherwise, refer to each project installation instructions.
 
+# Dataset
+
+Download the ````ml-100k.zip```` dataset in the ````data/```` folder:
+````
+> mkdir data
+> cd data
+> wget http://files.grouplens.org/datasets/movielens/ml-100k.zip   
+````
+
+Check the integrity of the file with (it should give the same number as below):
+````
+> md5 -q ml-100k.zip
+0e33842e24a9c977be4e0107933c0723 
+````
+
+Unzip:
+````
+> unzip ml-100k.zip
+````
+
 # Usage
 
 ## Compute predictions
 
 ````
-    sbt 'runMain predict.Predictor'
+> sbt 'runMain predict.Predictor'
 ````
 
 ## Compute recommendations
 ````
-    sbt 'runMain recommend.Recommender'
+> sbt 'runMain recommend.Recommender'
 ````
 
 ## Package for submission
@@ -25,7 +45,7 @@ Update the ````name````, ````maintainer```` fields of ````build.sbt````, with th
 
 Package your application:
 ````
-    sbt 'show dist'
+> sbt 'show dist'
 ````
 
 You should should see an output like:
@@ -33,7 +53,7 @@ You should should see an output like:
 [info] Your package is ready in [...]/target/universal/m1_your_id-1.0.zip
 ````
 
-Combine this package, along side your report and any other files mentioned in the Milestone description (see Section ````Deliverables````). Submit to the TA for grading.
+Combine this package, alongside your report and any other files mentioned in the Milestone description (see Section ````Deliverables````). Submit to the TA for grading.
 
 # References