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 a non children-friendly coffee shop with a low rating and a price range with more than £30 called Blue Spice and is located in the city centre near Avalon.

A: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Avalon]
****
Q: Near Clare Hall along side the river is a sushi place called 'Bibimbap House', it is very expensive.

A: name[Bibimbap House], food[Japanese], priceRange[more than £30], area[riverside], near[Clare Hall]
****
Q: With a price range of less than £20, Green Man is a cheap place to buy Chinese food. It is not family friendly and is located in the riverside area, near All Bar One.

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