diff --git a/python_scripts/README.md b/python_scripts/README.md
index 7b639cb167860c8a9a6d4921d2878e5a621c59f6..e0230fc48863607ed794ddf57728409c3b53c8b0 100644
--- a/python_scripts/README.md
+++ b/python_scripts/README.md
@@ -6,7 +6,7 @@ This framework incorporates wind velocity measurements from multiple-point scann
 
 Step1: Generate lidar-measured wind field using VICONDAR (e.g., "uval_av_sens_dist_Sh20_SD01_V06_TI08_s1000_circ7p_vol30.mat")
 
-Step2: Run the function "from_vicondar_to_cs_files.py", which creates a file (e.g., "cs_seed1000_av_circ7p_vol30") that containes inputs for the CS framework, which are processed from the VICONDAR output's file (e.g., "uval_av_sens_dist_Sh20_SD01_V06_TI08_s1000_circ7p_vol30.mat")
+Step2: Run the function "from_vicondar_to_cs_files.py", which creates a file (e.g., "cs_seed1000_av_circ7p_vol30") that containes inputs for the CS framework.
 
 Step3: Run "cs_seed1000_av_circ7p_vol30" file will generate a turbulence field with lidar-based wind velocity measurements incorporated.