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: Giraffe located near The Bakers is a coffee shop with a modest price range of £20-25 with a high rating from our fans, no children

Output: name[Giraffe], eatType[coffee shop], priceRange[£20-25], customer rating[high], familyFriendly[no], near[The Bakers]


Input: Consider Input: For Italian food in the riverside area, try the Aromi coffee shop, but keep in mind that it is not family-friendly and has a low customer rating.

Output: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no]


Input: Consider Input: The Golden Curry is a £10 family friendly French food near The Bakers


Output: name[The Golden Curry], food[French], priceRange[less than £20], familyFriendly[yes], near[The Bakers]