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: Aromi is a fast food coffee shop in an adult only atmosphere located in the city centre with low ratings.

A: name[Aromi], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[no]
****
Q: The Cambridge Blue is a pub near Café Brazil which serves high price Indian food.

A: name[The Cambridge Blue], eatType[pub], food[Indian], priceRange[high], near[Café Brazil]
****
Q: Wildwood is an inexpensive Japanese pub. Rated 3 out of 5.

A:
name[Wildwood], eatType[pub], food[Japanese], priceRange[less than £20], customer rating[average]
****