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:
Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.

Ex Output:
name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]


Ex Input:
Near Clare Hall along side the river is a sushi place called 'Bibimbap House', it is very expensive.

Ex Output:
name[Bibimbap House], food[Japanese], priceRange[more than £30], area[riverside], near[Clare Hall]


Ex Input:
The Wrestlers coffee shop is located in the riverside area near the Raja Indian Cuisine. It serves Italian food with a moderate price range and is kids-Friendly.

Ex Output:

name[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]