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.

Q: For a cheap restaurant with a customer rating of 5 out of 5, try Taste of Cambridge.

A: name[Taste of Cambridge], eatType[restaurant], priceRange[cheap], customer rating[5 out of 5]
****
Q: There is a one star mid priced family friendly coffee shop The Eagle near Burger King in the City centre. It offers Chinese food.

A: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]
****
Q: Rated 3 out of 5, Strada is child friendly and high priced.

A:
name[Strada], priceRange[high], customer rating[3 out of 5], familyFriendly[yes]
****