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: Expect to pay more than £30 at The Vaults, an expensive but kid friendly Chinese restaurant.
Example Output: name[The Vaults], food[Chinese], priceRange[more than £30], familyFriendly[yes]

Example Input: The best coffee shop in the riverside area with a customer rating of 3 out of 5 is the Zizzi and is in the price range of only 20-25.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

Example Input: Near All Bar One is a reasonably priced Fast food joint, rated highly by customers, called Midsummer House
Example Output:
name[Midsummer House], food[Fast food], priceRange[£20-25], customer rating[high], near[All Bar One]

