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 an English pub in the low price range with high customer ratings.

Ex Output:
name[Wildwood], eatType[pub], food[English], priceRange[cheap], customer rating[5 out of 5]


Ex Input:
Cocum is a coffee shop that serves Italian food. They are kid friendly and their price range is high.

Ex Output:
name[Cocum], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], familyFriendly[yes]


Ex Input:
The Waterman is a pub by the riverside that serves Japanese food and has a low customer rating.

Ex Output:

name[The Waterman], eatType[pub], food[Japanese], customer rating[low], area[riverside]