diff --git a/dataset b/dataset
index df1324d..3393678 100644
--- a/dataset
+++ b/dataset
@@ -7,6 +7,8 @@ from deepgtav.client import Client
 import argparse
 import time
 import cv2
+import pandas as pd
+import random
 
 # Stores a dataset file with data coming from DeepGTAV
 if __name__ == '__main__':
@@ -16,6 +18,15 @@ if __name__ == '__main__':
     parser.add_argument('-d', '--dataset_path', default='dataset.pz', help='Place to store the dataset')
     args = parser.parse_args()
 
+    # Get a random start location
+    df = pd.read_csv("gtav.rand.locations.csv", header=None)
+    randIdx = random.randint(0,349)
+    startLocation = [0,0,0]
+    startLocation = df.iloc[randIdx].tolist()
+    
+    # If you want a specific location specify it here:
+    # startLocation = [0,0,0]  
+    
     # Creates a new connection to DeepGTAV using the specified ip and port. 
     # If desired, a dataset path and compression level can be set to store in memory all the data received in a gziped pickle file.
     client = Client(ip=args.host, port=args.port, datasetPath=args.dataset_path, compressionLevel=9)
@@ -24,7 +35,7 @@ if __name__ == '__main__':
     # See deepgtav/messages.py to see what options are supported
     dataset = Dataset(rate=30, frame=[320,160], throttle=True, brake=True, steering=True, vehicles=True, peds=True, reward=[15.0, 0.0], direction=None, speed=True, yawRate=True, location=True, time=True)
     # Send the Start request to DeepGTAV.
-    scenario = Scenario(drivingMode=[786603,15.0]) # Driving style is set to normal, with a speed of 15.0 mph. All other scenario options are random.
+    scenario = Scenario(location=startLocation, drivingMode=[786603,15.0]) # Driving style is set to normal, with a speed of 15.0 mph. All other scenario options are random.
     client.sendMessage(Start(dataset=dataset,scenario=scenario))
 
     # Start listening for messages coming from DeepGTAV. We do it for 80 hours