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 Chinese restaurant The Vaults is cheap, but not family friendly.

Output: name[The Vaults], food[Chinese], priceRange[less than £20], familyFriendly[no]


Input: Consider Input: The Golden Palace is a cheap Italian coffee shop that is located in the city centre. It has a customer rating of 5 out of 5.

Output: name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre]


Input: Consider Input: There is a coffee shop that serves French food named Fitzbillies. They have a high price range and it is located at the riverside. It is a child friendly establishment with a customer rating of 3 out of 5.


Output: name[Fitzbillies], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]


