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.

Q: Midsummer House is near Café Rouge and provides Indian food with a customer rating of 3 out of 5.

A: name[Midsummer House], food[Indian], customer rating[3 out of 5], near[Café Rouge]
****
Q: A kid friendly coffee shop is Cocum, offering high customer ratings and £30 dining options.

A: name[Cocum], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes]
****
Q: Travellers Rest Beefeater near Café Adriatic by a riverside in the City centre with an average price range and a average  customer rating.

A:
name[Travellers Rest Beefeater], priceRange[£20-25], customer rating[3 out of 5], area[riverside], near[Café Adriatic]
****