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:
Browns Cambridge is a cheaper Japanese venue however its rating by customers is low.

Ex Output:
name[Browns Cambridge], food[Japanese], priceRange[less than £20], customer rating[low]


Ex Input:
The Twenty Two is child friendly and serves Fast food located in the city centre.

Ex Output:
name[The Twenty Two], food[Fast food], area[city centre], familyFriendly[yes]


Ex Input:
5 out 5 is the rating you get when you dine at The Rice Boat. Located near Riverside this child friendly Japanese restaurant is exceptional.

Ex Output:

name[The Rice Boat], food[Japanese], customer rating[5 out of 5], area[riverside], familyFriendly[yes]