diff --git a/Jenkinsfile b/Jenkinsfile
index 8dac578..5477308 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,21 +1,20 @@
 pipeline {
-    agent any
-	
+    agent {dockerfile true}	
 	
     stages {
 		stage('Sh script') {
 			steps {
 			withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                 "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
-                    sh 'chmod +x jenkins_script.sh'
-					sh './jenkins_script.sh'
+                    sh 'chmod +x run.sh'
+					sh './run.sh > netflix_stats.txt'
                 }
 			
 			}
 		}
 		stage('Archive artifacts') {
 			steps{
-				archiveArtifacts artifacts: 'netflix_split_*.csv'
+				archiveArtifacts artifacts: 'netflix_stats.txt'
 			}
 		}
     }
diff --git a/Jenkinsfile_stats b/Jenkinsfile_stats
index 0cac29d..c3c8b86 100644
--- a/Jenkinsfile_stats
+++ b/Jenkinsfile_stats
@@ -1,21 +1,21 @@
 pipeline {
-    agent any
+    agent {docker { image 'zollinka/ium:latest' }}
+	
     stages {
-        stage('copyArtifacts') {
-            steps {
-                copyArtifacts fingerprintArtifacts: true, projectName: 's434684-create-dataset', selector: buildParameter('CREATE_DATASET_BUILD_SELECTOR')
-            }
-        }
-        stage('script stats') {
-            steps {
-                sh 'chmod +x jenkins_stats_script.sh'
-				sh './jenkins_stats_script.sh'
-            }
-        }
-        stage('archiveArtifacts') {
-            steps {
-                archiveArtifacts 'dataset-stats.txt'
-            }
-        }
+		stage('Sh script') {
+			steps {
+			withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
+                "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
+                    sh 'chmod +x run.sh'
+					sh './run.sh > netflix_stats.txt'
+                }
+			
+			}
+		}
+		stage('Archive artifacts') {
+			steps{
+				archiveArtifacts artifacts: 'netflix_stats.txt'
+			}
+		}
     }
 }
\ No newline at end of file
diff --git a/README.md b/README.md
index 9a61f48..4d2057c 100644
--- a/README.md
+++ b/README.md
@@ -2,3 +2,9 @@ Inżynieria Uczenia Maszynowego
 Dataset: https://www.kaggle.com/eugenioscionti/scraping-rotten-tomatoes-to-enrich-netflix-dataset
 ium_zadanie1.py - python script for Zadanie 1
 run.sh - bash script with dataset download from kaggle and running ium_zadanie1.py
+
+Jenkinsfile - Jenkinsfile for classes 3 - create-Dataset
+Jenkinsfile-stats - Jenkinsfile for classes 3 - dataset-stats
+
+Dockerfile - Dockerfile for classes 4
+