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: There is a family-friendly pub with cheap prices The Olive Grove located in city centre.

Output: name[The Olive Grove], eatType[pub], priceRange[less than £20], area[city centre], familyFriendly[yes]


Input: Consider Input: If you are looking for a moderately priced restaurant try The Golden Palace.

Output: name[The Golden Palace], eatType[restaurant], priceRange[moderate]


Input: Consider Input: The Vaults coffee shop is situated near Café Brazil.  Here you can eat for £20-£25.  The Vaults has a high customer rating.


Output: name[The Vaults], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[riverside], near[Café Brazil]