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:
Blue Spice is expensive with a low rating but it is by the river and is kid friendly.

Ex Output:
name[Blue Spice], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
The Dumpling Tree restaurant serves French meals for around £20-£25.

Ex Output:
name[The Dumpling Tree], eatType[restaurant], food[French], priceRange[£20-25]


Ex Input:
Browns Cambridge is an averagely rated coffee shop located near Crowne Plaza Hotel in the city centre. It is family friendly and serves Indian food.

Ex Output:

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