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 Q]: Clowns is a Japanese coffee shop with 5 out of 5 customer ratings located near Clare Hall in the riverside area.
[EX A]: name[Clowns], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[riverside], near[Clare Hall]

[EX Q]: A cheap family Friendly Indian called Strada near Rainbow Vegetarian Café with a average customer rating.
[EX A]: name[Strada], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Rainbow Vegetarian Café]

[EX Q]: Browns Cambridge gets a 5 out of 5 customer rating.  It serves English food at affordably cheap prices.
[EX A]:
name[Browns Cambridge], food[English], priceRange[cheap], customer rating[5 out of 5]