diff --git a/Code/01_Data_Acquisition_and_Understanding/ReadMe.md b/Code/01_Data_Acquisition_and_Understanding/ReadMe.md
index e75e5ca..9c730d1 100644
--- a/Code/01_Data_Acquisition_and_Understanding/ReadMe.md
+++ b/Code/01_Data_Acquisition_and_Understanding/ReadMe.md
@@ -27,4 +27,30 @@ You can install other dependencies in a similar way
         /usr/bin/anaconda/bin/conda install unidecode
 - The egg file needed to run the Pubmed Parser is also included in the repository.
 
+#### Instructions
+
+**Adding egg file**
+
+One way to use the pubmed parser is to add the egg file to the Spark context. To do that, add the following command in your code:
+
+spark.sparkContext.addPyFile(*eggFilePath*)
+
+where *eggFilePath* is the location of the egg file.
+
+For example, you can upload the egg file to the blob container associated with your cluster. You can do that, for example, using [Microsoft Azure Storage Explorer](https://azure.microsoft.com/en-us/features/storage-explorer/).
+Let's say that you uploaded the egg file under the folder *eggs*. Then, the path will be:
+
+*eggFilePath* = 'wasb://eggs/pubmed_parser-0.1-py2.7.egg'
+
+Temporary Note: The above egg file is generated for Python 2.7. If it does not work for Python 3.5, you need to create it again using Python 3.5.
+
+**Installing unidecode package**
+
+To install unidecode Python package, you can use Script Action on your Spark Cluster. Add the following lines to your script file (.sh):
+
+    #!/usr/bin/env bash
+    /usr/bin/anaconda/bin/conda install unidecode
+
+More details about Script Action can be found [here](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-customize-cluster-linux).
+
 ### Next Step