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: The Twenty Two is in the riverside area. It is located near The Rice Boat. It provides children friendly activities.

Output: name[The Twenty Two], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes], near[The Rice Boat]


Input: Consider Input: The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.

Output: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]


Input: Consider Input: With a customer rating of 1 out of 5, The Punter coffee shop serves moderately priced Indian food. It is located near Café Sicilia and is not kid friendly.


Output: name[The Punter], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Café Sicilia]