diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R
index 7cff90a2aa..aa6f5b40d3 100644
--- a/inst/templates/ad_adex.R
+++ b/inst/templates/ad_adex.R
@@ -16,7 +16,7 @@ library(stringr)
 #  as needed and assign to the variables below.
 # The CDISC pilot datasets are used for demonstration purpose.
 data("admiral_adsl")
-data("admiral_ex")
+data("ex")
 
 adsl <- admiral_adsl
 
diff --git a/inst/templates/ad_adpp.R b/inst/templates/ad_adpp.R
index c215c5cdeb..d1acd39964 100644
--- a/inst/templates/ad_adpp.R
+++ b/inst/templates/ad_adpp.R
@@ -6,7 +6,7 @@
 #
 # Input: pp, adsl
 library(admiral)
-library(admiral.test) # Contains example datasets from the CDISC pilot project
+library(pharmaversesdtm) # Contains example datasets from the CDISC pilot project
 library(dplyr)
 library(lubridate)
 library(stringr)
@@ -19,7 +19,7 @@ library(stringr)
 # For illustration purposes read in admiral test data
 
 # Load PP and Adsl
-data("admiral_pp")
+data("pp")
 data("admiral_adsl")
 
 # When SAS datasets are imported into R using haven::read_sas(), missing
@@ -27,7 +27,7 @@ data("admiral_adsl")
 # as NA values. Further details can be obtained via the following link:
 # https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values # nolint
 
-pp <- convert_blanks_to_na(admiral_pp)
+pp <- convert_blanks_to_na(pp)
 
 # Lookup tables ----
 param_lookup <- tibble::tribble(
diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R
index 7d69820370..c16ec615b6 100644
--- a/inst/templates/ad_adppk.R
+++ b/inst/templates/ad_adppk.R
@@ -9,8 +9,7 @@ library(admiral)
 library(dplyr)
 library(lubridate)
 library(stringr)
-
-library(admiral.test) # Contains example datasets from the CDISC pilot project or simulated
+library(pharmaversesdtm) # Contains example datasets from the CDISC pilot project or simulated
 
 # ---- Load source datasets ----
 
@@ -19,10 +18,10 @@ library(admiral.test) # Contains example datasets from the CDISC pilot project o
 # For illustration purposes read in admiral test data
 
 # Load PC, EX, VS, LB and ADSL
-data("admiral_pc")
-data("admiral_ex")
-data("admiral_vs")
-data("admiral_lb")
+data("pc")
+data("ex")
+data("vs")
+data("lb")
 
 data("admiral_adsl")
 
@@ -33,21 +32,10 @@ adsl <- admiral_adsl
 # as NA values. Further details can be obtained via the following link:
 # https://pharmaverse.github.io/admiral/cran-release/articles/admiral.html#handling-of-missing-values # nolint
 
-# Load EX
-
-ex <- convert_blanks_to_na(admiral_ex)
-
-# Load PC
-
-pc <- convert_blanks_to_na(admiral_pc)
-
-# Load VS for baseline height and weight
-
-vs <- convert_blanks_to_na(admiral_vs)
-
-# Load LB for baseline lab values
-
-lb <- convert_blanks_to_na(admiral_lb)
+ex <- convert_blanks_to_na(ex)
+pc <- convert_blanks_to_na(pc)
+vs <- convert_blanks_to_na(vs)
+lb <- convert_blanks_to_na(lb)
 
 # ---- Lookup tables ----
 param_lookup <- tibble::tribble(