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: Green Man is a pub that serves Indian food in the city centre area near Café Rouge.

Output: name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]


Input: Consider Input: Customers rate Zizzi 1 out of 5. This coffee shop in the riverside area has moderate price range, and no it's not kid friendly.


Output: name[Zizzi], eatType[coffee shop], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]