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: Blue Spice is a restaurant that cooks Japanese food it is located by the riverside and the price range is moderate

A: name[Blue Spice], food[Japanese], priceRange[moderate], area[riverside]
****
Q: The Wildwood is a mid ranged French eatery with average customer ratings. It is located near the Ranch.

A: name[Wildwood], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[3 out of 5], near[Ranch]
****
Q: child-friendly Cocum Japanese coffee shop, priced at £30 has a low customers rating .

A:
name[Cocum], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[yes]
****