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.

Ex Input:
The Strada restaurant French food restaurant serves food in the price range £20-25, is kids friendly, customer rated 3 out of 5, and situated near to the Rainbow Vegetarian Café

Ex Output:
name[Strada], food[French], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]


Ex Input:
there is a coffee shop near from Burger King at city centre named The Eagle made Japanese food

Ex Output:
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]


Ex Input:
For a cheap price serving Chinese look for The Dumpling Tree restaurant.

Ex Output:

name[The Dumpling Tree], eatType[restaurant], food[Chinese], priceRange[cheap]