Update README.md

Author: RuneDK93

README.md

@@ -10,12 +10,12 @@ Inspect the *AE_correction.ipynb* notebook for a guide on performing telluric co
 Use *Training.pynb* notebook for understanding the training process of $\texttt{TAU}$ by visualzing network training on a single aperture / order of the data. For training on the entire spectral range of the HARPS-N data use the *training.py* script. The network is trained on solar observations from the HARPS-N spectrograph but can be extended to other spectrographs. 
 
 ## Preprocessing data for training 
-The procedure for preprocessing data prior to training the network can be seen seen in the *Preproc.ipynb*. 
+*Preproc.ipynb* notebook demonstrates the procedure for preprocessing the raw data prior to training the network.
 
 ## Included Data
-Data from HARPS-N used for training $\texttt{TAU}$ is not included in this repository, but can be downloaded from https://dace.unige.ch/dashboard/
+Raw data from HARPS-N is not included in this repository, but can be downloaded from https://dace.unige.ch/dashboard/
 
-A sample of 100 preprocessed observation is included in the preproc directory and can be used to test the network.
+A sample of 100 preprocessed observations is included in the preproc directory and can be used to test the training procedure of $\texttt{TAU}$.
 
 The extracted telluric spectrum from training $\texttt{TAU}$ on 838 observations is included in the tellurics directory. This extracted spectrum is used to perform correction with the *telluric_fit* function.