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.

Ex Input:
The Golden Palace is an Italian coffee shop located by the river in the City centre. It has middle priced food.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside]


Ex Input:
Cotto, offers Chinese food, and has customer rating of 1 out of 5. It is kids friendly and is located near Ranch.

Ex Output:
name[Cotto], food[Chinese], customer rating[1 out of 5], familyFriendly[yes], near[Ranch]


Ex Input:
The adult-friendly coffee shop, The Punter, serves expensive but averagely-rated Indian Dishes near Café Sicilia.

Ex Output:

name[The Punter], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], familyFriendly[no], near[Café Sicilia]