diff --git a/README.md b/README.md
index 0440526..f12cd75 100644
--- a/README.md
+++ b/README.md
@@ -12,10 +12,10 @@
 7. Verify that all tests were passed. 
 
 ## Running the scripts
-1 Place all the raw DSP output files in the same directory
-2. In VS Coe, in a terminal, paste the following command. Be sure to change the input directory to the folder where your raw files are. You can select any output directory you like. 
-`conda run -n dsp-analysis python .dspy\run_dspy.py -i "[full path to directory containing raw files]" -o "[full path to output directory of your choice]"`
+1 Place all the raw DSP output files in the same directory.
+2. In VS Code, in a terminal, paste the following command. Be sure to change the input directory to the folder where your raw files are. You can select any output directory you like. 
+`conda run -n dsp-analysis python .\dspy\run_dspy.py -i "[full path to directory containing raw files]" -o "[full path to output directory of your choice]"`
 3. Next, open Matlab and run `trajectory_wrapper.m`. Be sure to change the scriptDir and the trajDir as instructed in that file. 
 4. Save a copy of the meta data matching the columns of `.\tests\test_data\meta_data.csv` 
 5. Finally, back in the terminal, paste the following command
-`conda run -n dsp-analysis python .\dspy\merge_dspy.py -i "[full path to the directory containing the OUTPUT of the previous steps"] -m "[full path to your metadata file]" - o "[full path to desired output file]`
+`conda run -n dsp-analysis python .\dspy\run_merge_dspy.py -i "[full path to the directory containing the OUTPUT of the previous steps]" -m "[full path to your metadata file]" -o "[full path to desired output file]"`