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:
There is an expensive pub near the Café Brazil called The Cambridge Blue that sell wines and spirits.

Ex Output:
name[The Cambridge Blue], eatType[pub], food[French], priceRange[more than £30], near[Café Brazil]


Ex Input:
Near All Bar One is a moderately priced Italian place, with a customer rating of 3 out of 5, it's called Midsummer House.

Ex Output:
name[Midsummer House], food[Italian], priceRange[moderate], customer rating[3 out of 5], near[All Bar One]


Ex Input:
The kids-friendly Blue Spice coffee shop, moderately priced with a 3 out of 5 customer rating, is situated on the riverside, near Avalon.

Ex Output:

name[Blue Spice], eatType[coffee shop], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Avalon]