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 Palace is a 5-star Japanese coffee shop with low prices, located in City centre.

Output: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[riverside]


Input: Consider Input: A restaurant with a price range greater than  £30 that serves English food is The Dumpling Tree.

Output: name[The Dumpling Tree], eatType[restaurant], food[English], priceRange[more than £30]


Input: Consider Input: The Rice Boat is a Chinese restaurant in the river side, near Express by Holiday Inn. Rating 1 out of 5, price range is moderate and kids Friendly.


Output: name[The Rice Boat], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]