docs(nlp-scraper): fix audits format

subjects/ai/nlp-scraper/audit/README.md

@@ -20,9 +20,9 @@ project
 
 ```
 
-###### Does the structure of the project is as below ?
+###### Does the structure of the project look like the above?
 
-###### Does the readme file give an introduction of the project, show the username, describe the feature engineering and show the best score the on the leaderboard ?
+###### Does the readme file give an introduction of the project, show the username, describe the feature engineering and show the best score on the leaderboard?
 
 ###### Does the environment contain all libraries used and their versions that are necessary to run the code?
 
@@ -30,15 +30,15 @@ project
 
 ##### There are at least 300 news articles stored in the file system or the database.
 
-##### Run the scrapper with `python scrapper_news.py` and fetch 3 documents. The scrapper is not expected to fetch 3 documents and stop by itself, you can stop it manually. It runs without any error and stores the 3 files as expected.
+###### Run the scrapper with `python scrapper_news.py` and fetch 3 documents. The scrapper is not expected to fetch 3 documents and stop by itself, you can stop it manually. does it run without any error and store the 3 files as expected?
 
 ##### Topic classifier
 
 ###### Are the learning curves provided?
 
-###### Do the learning curves prove the topics classifier is trained without correctly - without overfitting ?
+###### Do the learning curves prove the topics classifier is trained correctly - without overfitting?
 
-###### Can you run the topic classfier model on the test set without any error ?
+###### Can you run the topic classifier model on the test set without any error?
 
 ###### Does the topic classifier score an accuracy higher than 95%?
 
@@ -50,13 +50,11 @@ project
 
 ###### Is the distance or similarity saved in the DataFrame?
 
-#####
-
 ##### NLP engine output on 300 articles
 
 ###### Does the DataFrame contain 300 different rows?
 
-###### Does the columns of the DataFrame are as expected ?
+###### Are the columns of the DataFrame as expected?
 
 ```
 Date scrapped (date)