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 restaurant offers mid-price traditional British fare.
Example Output: name[Browns Cambridge], food[English], priceRange[moderate], customer rating[3 out of 5]

Example Input: An average rated, cheap, family-friendly pub can be found at Cocum.
Example Output: name[Cocum], eatType[pub], priceRange[cheap], customer rating[average], familyFriendly[yes]

Example Input: The Waterman serves Indian cuisine at a moderate price. The food has been rated 3 out of 5 by customers and is located next to the riverside. Sorry, no kids allowed.
Example Output:
name[The Waterman], food[Indian], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[no]

