diff --git a/Dockerfile b/Dockerfile
index ba69b8a..00db461 100755
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,9 +10,10 @@ RUN pip3 install matplotlib
 RUN pip3 install sklearn
 RUN apt-get install unzip
 
-ENV CUTOFF=1000
+ARG CUTOFF
 ARG KAGGLE_USERNAME
 ARG KAGGLE_KEY
+ENV CUTOFF=${CUTOFF}
 ENV KAGGLE_USERNAME=${KAGGLE_USERNAME}
 ENV KAGGLE_KEY=${KAGGLE_KEY}
 
diff --git a/Jenkinsfile_docker b/Jenkinsfile_docker
index 450ad88..58f0b30 100644
--- a/Jenkinsfile_docker
+++ b/Jenkinsfile_docker
@@ -1,7 +1,7 @@
 pipeline {
   	agent {
 		dockerfile {
-			 additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY}"
+			 additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY} --build-arg CUTOFF=${params.CUTOFF}"
 		}
 	}
 	parameters {
diff --git a/download.sh b/download.sh
index 1a595f7..b965fa2 100755
--- a/download.sh
+++ b/download.sh
@@ -8,7 +8,7 @@ dataset_operation() {
     head -n $len2 all_games.csv.shuf > all_games.csv.test
     head -n $len3 all_games.csv.shuf | tail -n $len2 > all_games.csv.dev
     tail -n +$len4 all_games.csv.shuf > all_games.csv.train
-    cp all_games.csv /dane/all_games.csv
+    cp all_games.csv.shuf /dane/all_games.csv
     wc -l all_games.csv.*
 }