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 kids-friendly coffee shop called The Wrestlers near riverside next to Raja Indian Cuisine also serve Indian foods with high price.

Ex Output:
name[The Wrestlers], eatType[coffee shop], food[Indian], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]


Ex Input:
Near Clare Hall area, price range 23, Bibimbap House, McDonalds.

Ex Output:
name[Bibimbap House], food[Fast food], priceRange[£20-25], area[riverside], near[Clare Hall]


Ex Input:
A coffee shop  located near the Riverside area  Fitzbillies is in the low price range and customers have rated it poorly. Its name is Fitzbillies.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes]