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 Golden Curry near The Bakers are not children friendly,they serve French food with the price Range more than  £30.
Example Output: name[The Golden Curry], food[French], priceRange[more than £30], familyFriendly[no], near[The Bakers]

Example Input: The Golden Curry is a £10 family friendly French food near The Bakers
Example Output: name[The Golden Curry], food[French], priceRange[less than £20], familyFriendly[yes], near[The Bakers]

Example Input: Improving it's low rating Browns Cambridge offers Japanese cuisine starting at more than 30 euros.
Example Output:
name[Browns Cambridge], food[Japanese], priceRange[more than £30], customer rating[low]

