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 moderately priced, kids friendly establishment The Punter can be found near The Portland Arms in the riverside area.

Ex Output:
name[The Punter], priceRange[moderate], area[riverside], familyFriendly[yes], near[The Portland Arms]


Ex Input:
Cocum is a coffee shop serving high quality Italian food that is low priced and family friendly.

Ex Output:
name[Cocum], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]


Ex Input:
Browns Cambridge in the riverside area near the Crowne Plaza Hotel is a top notch place for a quick bit in a family friendly coffee shop style atmosphere.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


