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.

Q: Aromi is a kid friendly pub over by riverside with a 3 out of 5 customer rating.

A: name[Aromi], eatType[pub], customer rating[3 out of 5], area[riverside], familyFriendly[yes]
****
Q: Want to pay less than £20, go to Blue Spice, English food  in the city center.

A: name[Blue Spice], food[English], priceRange[less than £20], area[city centre]
****
Q: Near Rainbow Vegetarian Café is a Fast Food restaurant called Strada. They are not kid friendly have a high customer rating and are priced between 20-25 euros.

A:
name[Strada], food[Fast food], priceRange[£20-25], customer rating[high], familyFriendly[no], near[Rainbow Vegetarian Café]
****