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: The Olive Grove is an inexpensive, family-friendly pub serving wine and cheese.
Example Output: name[The Olive Grove], eatType[pub], food[French], priceRange[less than £20], area[riverside], familyFriendly[yes]

Example Input: A professionally priced eatery by the river that serves English cuisine and has an average atmosphere is called The Phoenix.
Example Output: name[The Phoenix], food[English], priceRange[high], customer rating[average], area[riverside]

Example Input: Wildwood is a three star pub as well as a sushi bar with medium pricing.
Example Output:
name[Wildwood], eatType[pub], food[Japanese], priceRange[£20-25], customer rating[3 out of 5]