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 Waterman is an averagely rated,  English pub located in Riverside.

Output: name[The Waterman], eatType[pub], food[English], customer rating[average], area[riverside]


Input: Consider Input: There is an average priced British pub called Wildwood. It has a 3 out of 5 customer rating.

Output: name[Wildwood], eatType[pub], food[English], priceRange[moderate], customer rating[3 out of 5]


Input: Consider Input: There is a family restaurant that provides picnic lunches as well as wine and spirits near the Café Rouge called The Golden Curry but it has terrible reviews.


Output: name[The Golden Curry], food[French], customer rating[low], area[riverside], familyFriendly[yes], near[Café Rouge]