diff --git a/README.md b/README.md
index 3875f99bdb4554b3e52d739382e1fbaeec4eca5e..6afee0c9bed9c7e581e95cb38f3ceb5d9cdd17b7 100644
--- a/README.md
+++ b/README.md
@@ -80,13 +80,16 @@ Make sure to modify the file ```path.sh``` in order to export the necessary envi
 Here is a short overview of the stages:
 
 - ```stage=0```: deletes experiment folder if it exists and runs all subsequent stages in a row
-- ```stage=1```: prepares the data given an experiment folder (e.g., ```DATA/BEAGR```); resulting files are stored in ```exp_*/data/```
+- ```stage=1```: 
+  - prepares the data given an experiment folder (e.g., ```DATA/BEAGR```)
+  - resulting files are stored in ```exp_*/data/```
 - ```stage=2```: 
   - counts frequencies of used codebook entries per speaker
   - if VERBOSE is true this stage also generates log-files
   - **ATTENTION:** if you need to extract features with a CPU, set ```device = torch.device('cpu')``` in the script ```local/codebook_freqs.py``` (default is ```device = torch.device('gpu')```)
   - resulting files are stored in ```exp_*/logs/```, ```exp_*/numpy/``` and```exp_*/txt/```
-- ```stage=3```: prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
+- ```stage=3```: 
+  - prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
 - ```stage=4```: 
   - performs a PCA on the similarity matrix and plots the PCA space
   - resulting ```*.png```-files are stored in ```exp_*/plots/analysis/```