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:
Featuring Chinese food priced less than 20 pounds, The Golden Curry is a a family friendly restaurant located near The Bakers.

Ex Output:
name[The Golden Curry], food[Chinese], priceRange[less than £20], familyFriendly[yes], near[The Bakers]


Ex Input:
The Cambridge Blue is an Indian restaurant with a rating of 3 out of 5.

Ex Output:
name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[3 out of 5]


Ex Input:
The Mill is a coffee shop in the city centre that serves Italian food. You will find it near The Sorrento. its prices are moderate.

Ex Output:

name[The Mill], eatType[coffee shop], food[Italian], priceRange[moderate], area[city centre], near[The Sorrento]