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.

Browns Cambridge serves Chinese at a moderate price, but has an average customer rating of 1 out of 5.
name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[1 out of 5]

There is a coffee shop named Fitzbillies that serves Indian food in the city centre. It is in the high price range, has a 1 out of 5 customer rating, and is not child friendly.
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no]

The Eagle is a coffee shop, located in the city centre area near to Burger King which serves Italian food. It is cheap and family-friendly with a customer rating of 5 out of 5.

name[The Eagle], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Burger King]