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:
The Golden Curry has English food and is family friendly.

Ex Output:
name[The Golden Curry], food[English], customer rating[5 out of 5], familyFriendly[yes]


Ex Input:
There is a coffee shop in the riverside area named Zizzi.  It is not child-friendly, has a low customer rating, and possesses a price range of around £30.

Ex Output:
name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no]


Ex Input:
Located near The Sorrento is a French Theme eatery and coffee shop called The Mill, with a price range at £20-£25 it is in the riverside area.

Ex Output:

name[The Mill], eatType[coffee shop], food[French], priceRange[£20-25], area[riverside], near[The Sorrento]