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:
Cotto is coffee shop near The Portland Arms in the city center. It also offers Japanese food in a moderate price range. Cotto is rated 1 out of 5 by its customers.

Ex Output:
name[Cotto], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], near[The Portland Arms]


Ex Input:
The Cricketers is a children friendly coffee shop which serves Italian food, and has a high customer rating, located near The Portland Arms.

Ex Output:
name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[high], familyFriendly[yes], near[The Portland Arms]


Ex Input:
With a cheap price range and average customer rating, Fitzbillies  is located near Express by Holiday Inn. It is also family friendly.

Ex Output:

name[Fitzbillies], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Express by Holiday Inn]