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:
Loch Fyne is a non-family friendly Chinese restaurant.

Ex Output:
name[Loch Fyne], eatType[restaurant], food[Chinese], familyFriendly[no]


Ex Input:
Cotto is a moderately-priced coffee shop serving Japanese food near The Portland Arms in the riverside area with a low customer rating.

Ex Output:
name[Cotto], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[The Portland Arms]


Ex Input:
The Waterman is a family-friendly restaurant that serves English food in the city centre. It is a cheap restaurant and has an average customer rating.

Ex Output:

name[The Waterman], food[English], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]