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: Blue Spice is an averagely rated and priced restaurant located in the city centre. It is kids friendly.

Output: name[Blue Spice], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[yes]


Input: Consider Input: A pub that is not children friendly is Cocum. The customer rating is 5 out of 5 and the price range is more than 30.

Output: name[Cocum], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], familyFriendly[no]


Input: Consider Input: Cotto is a coffee shop that offers delicious Indian food, although the price range is high, you will be pleased to know Cotto has high customer ratings. It is located in Riverside near The Portland Arms.


Output: name[Cotto], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], near[The Portland Arms]