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 Olive Grove is a pub specializing in fast food. It's located in the city centre with a moderate price range. The Olive Grove is not a kid friendly restaurant.

Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[moderate], area[city centre], familyFriendly[no]


Input: Consider Input: Loch Fyne is a restaurant that serves English food that is not family-friendly.

Output: name[Loch Fyne], eatType[restaurant], food[English], familyFriendly[no]


Input: Consider Input: Fitzbillies Indian coffee shop is moderately priced,  kid friendly, and rated 3 out of 5 by customers.


Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[no]