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: There is a high priced coffee shop called The Eagle in the Riverside area, near Burger King, with an average customer rating, that serves Indian food and is also child friendly.

Output: name[The Eagle], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes], near[Burger King]


Input: Consider Input: The Wrestlers offers cheap Indian food with average customer rating. It is not family friendly.

Output: name[The Wrestlers], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[no]


Input: Consider Input: Browns Cambridge in the city centre near Crowne Plaza Hotel is a family-friendly, fast food and coffee shop with a customer rating of 5 out of 5.


Output: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]