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.

Input: Consider Input: Near Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.

Output: name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]


Input: Consider Input: The Golden Curry offers English food at a high price. It is near The Bakers. It should be noted that it is not kids friendly.

Output: name[The Golden Curry], food[English], priceRange[high], familyFriendly[no], near[The Bakers]


Input: Consider Input: Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.


Output: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]