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 children friendly pub in Riverside. They serve fast food in the high price range.

Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[high], area[riverside], familyFriendly[yes]


Input: Consider Input: There is coffee shop called Browns Cambridge that serves Indian food. They are located in the city centre, near Crowne Plaza Hotel. Its customer rating is low.

Output: name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]


Input: Consider Input: Green Man is a children friendly restaurant that serves expensive English food. Its located in riverside near All Bar One.


Output: name[Green Man], food[English], priceRange[high], area[riverside], familyFriendly[yes], near[All Bar One]