diff --git a/benchmark_generation.md b/benchmark_generation.md
index 884e59c..7003e08 100644
--- a/benchmark_generation.md
+++ b/benchmark_generation.md
@@ -4,9 +4,9 @@ This document shows you how to configure Maestro to generate a new benchmark and
 * __Run SmartBenchh.java__ 
 * __Configure Maestro__ This is the first step after running Maestro. You have to configure the system as shown. Until now, Maestro supports 5 KGs, and we are working on adding more.
 ![Image](Images/benhmark_generation_conf.PNG)
-* The System then preprocess the seed entities that will work as the answers for the questions or a subset of the answers, and print triples examples for these entities as in the figure below.  QALD-1 has 100 questions, just 3 of them are shown.
+* The System then preprocess the seed entities that will work as the answers for the questions or a subset of the answers, and print triples examples for these entities as in the figure below.
 ![Image](Images/Seeds_selection.PNG)
-* The System then prints the generated questions one by one. Each question consists of the natural language question, the formal query used to reterive the correct answer, the answer, and some properties about the question (e.g., number of tokens, query shapt, etc.).
+* The System then prints the generated questions one by one. Each question consists of the natural language question, the formal query used to reterive the correct answer, the answer, and some properties about the question (e.g., number of tokens, query shape, etc.).
 ![Image](Images/question_example.PNG)
 * In the end, the system save the benchmark as a JSON file.