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

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside]


Ex Input:
The Italian restaurant, The Rice Boat, has a low customer rating and is not family-friendly, but meals are less than £20. It is located in the city centre near Express by Holiday Inn.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Located in the riverside area is The Olive Grove pub. It is child friendly and serves fast food at more than £30.

Ex Output:

name[The Olive Grove], eatType[pub], food[Fast food], priceRange[more than £30], area[riverside], familyFriendly[yes]