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 cheap French coffee shop named Cotto that has 5 out of 5 customer rating near The Portland Arms in the riverside area
[A]: name[Cotto], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[The Portland Arms]


[Q]: Children friendly Japanese food Strada which has low customer rating and price range more than £30 is served near Rainbow Vegetarian Café.
[A]: name[Strada], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]


[Q]: The Golden Curry provides Chinese food in the moderate price range. It is near The Bakers.
[A]:
name[The Golden Curry], food[Chinese], priceRange[moderate], familyFriendly[yes], near[The Bakers]