In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Ex Input:
The Browns Cambridge serves Italian food and has excellent service.

Ex Output:
name[Browns Cambridge], food[Italian], priceRange[cheap], customer rating[5 out of 5]


Ex Input:
The Aromi is an Indian coffee shop in a riverside location. It has a high customer rating and is child friendly.

Ex Output:
name[Aromi], eatType[coffee shop], food[Indian], customer rating[high], area[riverside], familyFriendly[yes]


Ex Input:
The Punter is a cheap coffee shop that is 3 star and serves sushi. It is near Café Sicilia

Ex Output:

name[The Punter], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]