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:
There is a family-friendly  coffee shop Aromi in the city centre that provides Italian food but has low customer rating.

Ex Output:
name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes]


Ex Input:
Cotto is a coffee shop that offers delicious Indian food, although the price range is high, you will be pleased to know Cotto has high customer ratings. It is located in Riverside near The Portland Arms.

Ex Output:
name[Cotto], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], near[The Portland Arms]


Ex Input:
The Phoenix is a highly recommended restaurant that offers meals at reasonable prices.

Ex Output:

name[The Phoenix], food[Italian], priceRange[£20-25], customer rating[high], area[riverside]