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: Browns Cambridge is a fast food family-friendly restaurant in the city centre near The Sorrento.

A: name[Browns Cambridge], food[Fast food], area[city centre], familyFriendly[yes], near[The Sorrento]
****
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: Offering Italian Cuisine with rave reviews is coffee shop Browns Cambridge near Crowne Plaza Hotel in the city centre

A:
name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]
****