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.

Input: Consider Input: Browns Cambridge is a five star. English restaurant.

Output: name[Browns Cambridge], food[English], priceRange[more than £30], customer rating[high]


Input: Consider Input: The Punter is a family restaurant with low prices and delicious sushi, located near the Café Sicilia

Output: name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]


Input: Consider Input: City Centre, Chinese restaurant, The Rice Boat.


Output: name[The Rice Boat], food[Chinese], area[city centre]


