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.

Input: Consider Input: The Cambridge Blue is a pub near Café Brazil that provides English food with a price range of more than £30.

Output: name[The Cambridge Blue], eatType[pub], food[English], priceRange[more than £30], near[Café Brazil]


Input: Consider Input: Pub called Giraffe is a Fast food, family-friendly and located in the city centre

Output: name[Giraffe], eatType[pub], food[Fast food], area[city centre], familyFriendly[yes]


Input: Consider Input: Italian family friendly near Café Sicilia is The Punter which is a cheap coffee shop with average rating.


Output: name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Café Sicilia]