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 Q]: Near The Portland Arms, In the city centre of city,  is a 3of5 stars coffee shop price moderate called Cotto, serves Fast food
[EX A]: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[The Portland Arms]

[EX Q]: The Eagle is a family-friendly coffee shop with French cuisine. Prices are less than £20. Customers give it an average rating. It is located in the city centre near a Burger King.
[EX A]: name[The Eagle], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[yes], near[Burger King]

[EX Q]: Browns Cambridge is a fast food coffee shop with a customer rating of 5 out of 5. It is located near to Crowne Plaza Hotel, by the riverside but it is not family-friendly.
[EX A]:
name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

