instruction:
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.
question:
Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.
answer:
name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]


question:
Fitzbillies is a cheap Indian food spot, it's a coffee shop style place near Riverside with average ratings and it's family friendly.
answer:
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]


question:
There is a Chinese food restaurant called The Phoenix in the riverside area. It has an average customer rating and the price range is cheap.
answer:

name[The Phoenix], food[Chinese], priceRange[cheap], customer rating[average], area[riverside]