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 Golden Curry, an English restaurant in a moderate price range that is not kids friendly is situated near The Bakers

Output: name[The Golden Curry], food[English], priceRange[moderate], familyFriendly[no], near[The Bakers]


Input: Consider Input: The Rice Boat is adults only, upscale Italian dining, near the Express by Holiday Inn, in Riverside, that has a customer rating of 1 out of 5.

Output: name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Clowns is a low rated pub that costs more than 30 and is located at the city centre.


Output: name[Clowns], eatType[pub], priceRange[more than £30], customer rating[low], area[city centre]