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 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.

Output: name[The Eagle], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[yes], near[Burger King]


Input: Consider Input: The Eagle is a moderately priced low rated Japanese coffee shop near Burger King in city centre.

Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]


Input: Consider Input: The Japanese restaurant The Rice Boat is not kid friendly, but it is highly rated.  It is near the Express by Holiday Inn in the riverside area.  It  has average prices between £20-25.


Output: name[The Rice Boat], food[Japanese], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]