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:
Alimentum features Chinese food with average customer ratings at a high price.  It is located in riverside near Yippee Noodle Bar.

Ex Output:
name[Alimentum], food[Chinese], priceRange[high], customer rating[average], area[riverside], near[Yippee Noodle Bar]


Ex Input:
In the city centre area is a Japanese restaurant named Aromi. It is a coffee shop with a customer rating of 5 out of 5.

Ex Output:
name[Aromi], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[yes]


Ex Input:
Next to Ranch is a coffee shop with a three star rating and low price point called Wildwood.

Ex Output:

name[Wildwood], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[average], near[Ranch]


