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 Q]: Fitzbillies is a moderately priced restaurant near to Rainbow Vegetarian Café.
[EX A]: name[Fitzbillies], priceRange[moderate], near[Rainbow Vegetarian Café]

[EX Q]: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.
[EX A]: name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]

[EX Q]: Although The Vaults, a coffee shop,  near Café Brazil boasts an average customer rating, the price is high in this riverside area.
[EX A]:
name[The Vaults], eatType[coffee shop], priceRange[high], customer rating[average], area[riverside], near[Café Brazil]

