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]: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.
[EX A]: name[Cotto], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]

[EX Q]: The Dumpling Tree, riverside near Café Sicilia, is a high priced, non family-friendly coffee shop.
[EX A]: name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[no], near[Café Sicilia]

[EX Q]: Average-rated Chinese food in a child-unfriendly restaurant is on offer at Strada, near Rainbow Vegetarian Café.
[EX A]:
name[Strada], food[Chinese], priceRange[high], customer rating[average], familyFriendly[no], near[Rainbow Vegetarian Café]