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:
With a price range of less than £20, Green Man is a cheap place to buy Chinese food. It is not family friendly and is located in the riverside area, near All Bar One.

Ex Output:
name[Green Man], food[Chinese], priceRange[less than £20], area[riverside], familyFriendly[no], near[All Bar One]


Ex Input:
The Rice Boat provides Chinese food in the high price range. It is located in the city centre. It is near Express by Holiday Inn. Its customer rating is 1 out of 5.

Ex Output:
name[The Rice Boat], food[Chinese], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Ex Input:
Blue Spice, located along the riverside near Avalon, is a decent, family-friendly coffee shop.

Ex Output:

name[Blue Spice], eatType[coffee shop], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes], near[Avalon]