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:
Green Man by a riverside near All Bar One is child Friendly serving Japanese food with a high price Range.
answer:
name[Green Man], food[Japanese], priceRange[high], area[riverside], familyFriendly[yes], near[All Bar One]


question:
Zizzi is an expensive, non-child friendly coffee shop in the city centre with a price range exceeding £30 and has a low customer rating.
answer:
name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]


question:
There is a high priced coffee shop called The Eagle in the Riverside area, near Burger King, with an average customer rating, that serves Indian food and is also child friendly.
answer:

name[The Eagle], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes], near[Burger King]