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:
In the riverside area near the Crown Plaza Hotel is Browns Cambridge. It is a kid friendly coffee shop, that has Japanese food, and it's rated 1-5.

Ex Output:
name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


Ex Input:
Strada Sushi is a moderately priced, family friendly restaurant near the Rainbow Vegetarian Café.

Ex Output:
name[Strada], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]


Ex Input:
There is a nice sushi restaurant with affordable prices sitting by a waterfront location called Bibimbap House next to Clare Hall.

Ex Output:

name[Bibimbap House], food[Japanese], priceRange[less than £20], area[riverside], near[Clare Hall]