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.

There is a pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.
name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]

For Italian food in the riverside area, try the Aromi coffee shop, but keep in mind that it is not family-friendly and has a low customer rating.
name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no]

French coffee shop Fitzbillies is moderately priced, with a customer rating 1 out of 5.  This is not a family-friendly venue.

name[Fitzbillies], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]