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:
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:
The Golden Palace is a pub by the riverside close to Rainbow Vegetarian Café with a price range of £20-25.

Ex Output:
name[The Golden Palace], eatType[pub], priceRange[£20-25], area[riverside], near[Rainbow Vegetarian Café]


Ex Input:
Cocum coffee shop has a reasonable customer rating of 3 out of 5 with food in a moderate price range.  It serves Fast food but no good for children

Ex Output:

name[Cocum], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], familyFriendly[no]