diff --git a/README.Rmd b/README.Rmd
index 09902ba1..e7b4b59f 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -105,9 +105,7 @@ To do this we will need to do the following:
 All of which can be done using a well-defined specification file and the `{xportr}` package! 
 
 First we will start with our `ADSL` dataset created in R.
-This example `ADSL` dataset is taken from a dataset released with `xportr`.
-The script that generates this `ADSL` dataset can be created by using the command: `admiral::use_ad_template("adsl")` _(note: `admiral` package needs to be installed).
-This `ADSL` dataset has 306 observations and 54 variables.
+This example `ADSL` dataset contains 306 observations and 54 variables.
 
 ```{r, eval=TRUE, message=FALSE, warning=FALSE}
 library(dplyr)
diff --git a/README.md b/README.md
index 71373c94..572bf5c9 100644
--- a/README.md
+++ b/README.md
@@ -100,11 +100,7 @@ All of which can be done using a well-defined specification file and the
 `{xportr}` package!
 
 First we will start with our `ADSL` dataset created in R. This example
-`ADSL` dataset is taken from a dataset released with `xportr`. The
-script that generates this `ADSL` dataset can be created by using the
-command: `admiral::use_ad_template("adsl")` \_(note: `admiral` package
-needs to be installed). This `ADSL` dataset has 306 observations and 48
-variables.
+`ADSL` dataset contains 306 observations and 54 variables.
 
 ``` r
 library(dplyr)
diff --git a/dev/var_names_xportr.Rmd b/dev/var_names_xportr.Rmd
index c681313e..b47a217f 100644
--- a/dev/var_names_xportr.Rmd
+++ b/dev/var_names_xportr.Rmd
@@ -34,17 +34,14 @@ The 6 main functions within `xportr` pacakge:
 * `xportr_write()`
 
 
-The demo will make use of a small `ADSL` dataset available with the `xportr` package.
-The script that generates this `ADSL` dataset can be created by using the command: `admiral::use_ad_template("adsl")` _(note: `admiral` package needs to be installed).
-
-The `ADSL` has the following features:
+The demo will make use of a small `ADSL` dataset available with the `xportr` package and has the following features:
 
 * 306 observations 
 * 54 variables
 * Data types other than character and numeric
 * Missing labels on variables
 * Missing label for data set
-* Order of varibles not following specification file
+* Order of variables not following specification file
 * Formats missing
 
 <br>
diff --git a/vignettes/xportr.Rmd b/vignettes/xportr.Rmd
index 17e55f43..71536212 100644
--- a/vignettes/xportr.Rmd
+++ b/vignettes/xportr.Rmd
@@ -80,11 +80,7 @@ datatable_template <- function(input_data) {
 
 # Getting Started with xportr
 
-The demo will make use of a small `ADSL` data set that is apart of the  `{xportr}` package.
-The script that generates this `ADSL` dataset can be created by using the command: `admiral::use_ad_template("adsl")` _(note: `admiral` package needs to be installed).
-For a deeper discussion into `{xportr}` be sure to check out the [Deep Dive](deepdive.html) User Guide.
-
-The `ADSL` has the following features:
+The demo will make use of a small `ADSL` dataset available with the `xportr` package and has the following features:
 
 * 306 observations 
 * 54 variables