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:
Near the Burger King, The Eagle is a coffee shop style Japanese, low price, this restaurant is a good place for kids.

Ex Output:
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Burger King]


Ex Input:
The Strada is an exciting Italian restaurant that is not only affordable, but quiet because no minors are allowed. It is right next to the Rainbow Vegetarian Café

Ex Output:
name[Strada], food[Italian], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Rainbow Vegetarian Café]


Ex Input:
There is a restaurant near All Bar One called Midsummer House that is expensive.

Ex Output:

name[Midsummer House], food[Italian], priceRange[high], customer rating[1 out of 5], near[All Bar One]