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 Wildwood is an affordable coffee shop that serves Japanese food, located in Ranch.

Ex Output:
name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[average], near[Ranch]


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 Golden Curry is a Chinese family friendly restaurant that has average ratings. It is located in Riverside next to the Café Rouge.

Ex Output:

name[The Golden Curry], food[Chinese], customer rating[average], area[riverside], familyFriendly[yes], near[Café Rouge]