Update README.md

-# "Automatic Extraction of Growth Conditions (GC) from the Gene Expression Omnibus (GEO)".  
-Project to extract in an automatic way, the growth conditions of all enterobacteria within the GEO using "Conditional Random Fields " (CRFs).
+# "Automatic Extraction of Growth Conditions (GCs) from the Gene Expression Omnibus (GEO)".  
+Project to extract in an automatic way the growth conditions of all enterobacteria within the GEO using "Conditional Random Fields " (CRFs).
 
 
 ## Prerequisites
 ## Prerequisites
 ### Programming languages
 ### Programming languages
-   - Python (version 2.7, version 3)
+   - Python (version 2.7, version 3.7)
    - Bash
    - Bash
 
 
 ## Folder content
 ## Folder content
@@ -27,8 +27,18 @@ Project to extract in an automatic way, the growth conditions of all enterobacte
 **CoreNLP**
 **CoreNLP**
    - bin
    - bin
       1.  get-raw-sentences.sh   
       1.  get-raw-sentences.sh   
+         _Script that **extracts the GCs** from the file: "tagged-xml-data" and adds the phrase: "PGCGROWTHCONDITIONS" to all lines._
       2.  single_run.sh   
       2.  single_run.sh   
+         _Script that **runs** th script: "corenlp.sh" with the desired parameters._
    - input
    - input
       1. raw-metadata-senteneces.txt  
       1. raw-metadata-senteneces.txt  
+         _Resulting file from "get-raw-sentences.sh". **Contains all the GCs.**_ 
    - output
    - output
       1. raw-metadata-senteneces.txt.conll  
       1. raw-metadata-senteneces.txt.conll  
+         _This file contains **all the words of all the GCs** tagged with its **"lemma" & "POS"**_
+
+**data-sets**
+   - report-manually-tagged-gcs  
+      _Contains the extracted GCs of all the samples for each serie._
+   - tagged-xml-data  
+      _Contains the **original xml-tagged files** where the GCs will be extracted._
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