Spell dataset consistently

Author: szarnyasg

README.md

@@ -6,7 +6,7 @@ LDBC-SNB Data Generator
 [![Build Status](https://travis-ci.org/ldbc/ldbc_snb_datagen.svg?branch=master)](https://travis-ci.org/ldbc/ldbc_snb_datagen)
 [![Codacy Badge](https://api.codacy.com/project/badge/Grade/5b0c677c9c4c4de3b6af15f118c9212c)](https://www.codacy.com/app/ArnauPrat/ldbc_snb_datagen?utm_source=github.com&utm_medium=referral&utm_content=ldbc/ldbc_snb_datagen&utm_campaign=Badge_Grade)
 
-The LDBC-SNB Data Generator (Datagen) is the responsible of providing the data sets used by all the LDBC benchmarks. This data generator is designed to produce directed labeled graphs that mimic the characteristics of those graphs of real data. A detailed description of the schema produced by Datagen, as well as the format of the output files, can be found in the latest version of official [LDBC SNB specification document](https://github.com/ldbc/ldbc_snb_docs).
+The LDBC-SNB Data Generator (Datagen) is the responsible of providing the datasets used by all the LDBC benchmarks. This data generator is designed to produce directed labeled graphs that mimic the characteristics of those graphs of real data. A detailed description of the schema produced by Datagen, as well as the format of the output files, can be found in the latest version of official [LDBC SNB specification document](https://github.com/ldbc/ldbc_snb_docs).
 
 
 `ldbc_snb_datagen` is part of the [LDBC project](http://www.ldbcouncil.org/).

graphalytics-generate-old.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# This script generates old versions of Graphalytics data sets.
+# This script generates old versions of Graphalytics datasets.
 # Beware that the script cleans the current git repository and discards any changes.
 
 # To run this script:

snb-generate-old.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-# This script generates old versions of SNB data sets.
+# This script generates old versions of SNB datasets.
 # Beware that the script cleans the current git repository and discards any changes.
 
 # To run this script: