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 Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.

Output: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Input: Consider Input: The Rice Boat is a place that sells Indian food for under £20 that has a low customer rating and is located on the riverside near Express by Holiday Inn.

Output: name[The Rice Boat], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: The Eagle is an Italian coffee shop in City Centre, near Burger King, that is family friendly, pricey and highly rated.


Output: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[yes], near[Burger King]