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 Waterman cooks up moderate priced English cuisine on the riverside. Its kids friendly but has a 1 out of 5 average customer rating.

Ex Output:
name[The Waterman], food[English], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
The Rice Boat is adults only, upscale Italian dining, near the Express by Holiday Inn, in Riverside, that has a customer rating of 1 out of 5.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Near The Bakers is The Golden Curry, which is a fast food place with a price range of less than £20 and is not family-friendly.

Ex Output:

name[The Golden Curry], food[Fast food], priceRange[less than £20], familyFriendly[no], near[The Bakers]