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: Browns Cambridge is a hamburger joint that has an average rating of 3 out of 5 stars and is low priced.
Example Output: name[Browns Cambridge], food[Fast food], priceRange[less than £20], customer rating[average]

Example Input: A French place named The Vaults costs £20-25, and yes, it is kid friendly.
Example Output: name[The Vaults], food[French], priceRange[£20-25], familyFriendly[yes]

Example Input: The Olive Grove is a French restaurant not provide food for children or Happy Meal
Example Output:
name[The Olive Grove], eatType[pub], food[French], priceRange[moderate], area[riverside], familyFriendly[no]