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.

Example Input: Blue Spice is a cheap, non-family-friendly restaurant in riverside with a 5 out of 5 customer rating.
Example Output: name[Blue Spice], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]

Example Input: The Vaults is a pub near Café Adriatic. It has a high customer rating and a price range of £20-25.
Example Output: name[The Vaults], eatType[pub], priceRange[£20-25], customer rating[high], near[Café Adriatic]

Example Input: The Olive Grove is located in the city centre serving French food. It is a family-friendly pub with a price range less than £20.
Example Output:
name[The Olive Grove], eatType[pub], food[French], priceRange[less than £20], area[city centre], familyFriendly[yes]