VS2N-MongoDB-schemas.md

@@ -5,7 +5,7 @@ In VS2N, we use MongoDB to store all the collected data from SNN simulations. Th
 
 Each type of collected data is stored in one collection (the equivalent of a table in a relational database system), and all the collections on one simulation are stored in one MongoDB database.
 
-In VS2N, the types of collected data from each SNN simulation (which are stored as collection each) are:
+In VS2N, the types of collected data from each SNN simulation (which are stored as a collection each) are:
 
 **Required**
 - General information on the network.
@@ -16,12 +16,12 @@ In VS2N, the types of collected data from each SNN simulation (which are stored
 **Optional**
 - Labels of each input to the network (if possible).
 
-Each collection contains documents (the equivalent of a row in a table of a relational database system), each document has a specific schema that need to be respected by any simulator, in order for VS2N to work properly.
+Each collection contains documents (the equivalent of a row in a table of a relational database system), each document has a specific schema that needs to be respected by any simulator, in order for VS2N to work properly.
 
 ## Document schemas
-A document schema is a JSON object that contains information about the shape, fields and type of data stored in that document.
+A document schema is a JSON object that contains information about the shape, fields, and type of data stored in that document.
 
-```JSON
+```json
 {
   "properties" : {
     "_id" : { "bsonType" : "objectId" },
@@ -29,6 +29,7 @@ A document schema is a JSON object that contains information about the shape, fi
   }
 }
 ```
+
 <center>Example of a document schema</center>
 <br>
 
@@ -41,7 +42,7 @@ In this collection, there are two schemas, the first one contains information ab
 - Number of layers
 - Number of neurons per layer
 
-```JSON
+```json
 { 
   "properties" : {
     "_id" : { "bsonType": "objectId" }, // id
@@ -55,7 +56,7 @@ In this collection, there are two schemas, the first one contains information ab
 <center>General information schema - 1</center>
 <br>
 
-```JSON
+```json
 { 
   "_id" : ObjectId("603834c376e245cd78319032"), 
   "n" : "My network", 
@@ -66,11 +67,11 @@ In this collection, there are two schemas, the first one contains information ab
 ```
 <center>Example</center>
 
-The second one contains optional information, which are collected if there was test phase after training:
+The second one contains optional information, which is collected if there was a test phase after training:
 - Network accuracy
 - final neuron classes (for non supervised learning)
 
-```JSON
+```json
 { 
   "properties" : {
     "_id" : { "bsonType": "objectId" }, // id
@@ -82,7 +83,7 @@ The second one contains optional information, which are collected if there was t
 <center>General information schema - 2</center>
 <br>
 
-```JSON
+```json
 { 
   "_id" : ObjectId("60163a04dec986560a8d907a"), 
   "MaxS" : 83.51,