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:
There is a children friendly high-priced restaurant called Green Man located near the All Bar One in the city centre that provides Chinese food.

Ex Output:
name[Green Man], food[Chinese], priceRange[high], area[city centre], familyFriendly[yes], near[All Bar One]


Ex Input:
The Japanese restaurant The Rice Boat is not kid friendly, but it is highly rated.  It is near the Express by Holiday Inn in the riverside area.  It  has average prices between £20-25.

Ex Output:
name[The Rice Boat], food[Japanese], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Midsummer House, near All Bar One, serves cheap English food and has an average customer rating.

Ex Output:

name[Midsummer House], food[English], priceRange[cheap], customer rating[average], near[All Bar One]