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 cheap Japanese coffee shop Cotto is located in the city centre near The Portland Arms.  They are highly rated with 5 out of 5.

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


Ex Input:
Wildwood is a highly rated Japanese coffee shop near Ranch.  Prices are average.

Ex Output:
name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], near[Ranch]


Ex Input:
Fitzbillies is a French coffee shop in the Riverside area. Not child friendly, low customer rating, price range is more than £30.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no]