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:
Taste of Cambridge is a restaurant with a customer rating of 3 out of 5 and and a price range of £20-£25

Ex Output:
name[Taste of Cambridge], eatType[restaurant], priceRange[£20-25], customer rating[3 out of 5]


Ex Input:
For good Indian eats near Ranch, Wildwood is a nice, affordable coffee shop with prices ranging £20-25.

Ex Output:
name[Wildwood], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], near[Ranch]


Ex Input:
The Wrestlers coffee shop serves Japanese food.  It is situated near Raja Indian Cuisine at the riverside.  Prices are less than £20.  It is not family-friendly.

Ex Output:

name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[no], near[Raja Indian Cuisine]