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.

Q: There is an expensive coffee shop which serves fast food called The Golden Palace. It is on the riverside. The customers rate it as average.

A: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside]
****
Q: The Rice Boat, located in the city centre neat Express by Holiday Inn, is a high priced fast food restaurant. It has a one of five customer rating and us not children friendly.

A: name[The Rice Boat], food[Fast food], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
****
Q: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.

A:
name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]
****