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]: With the price range running more than £30, it's surprising that Alimentum is a children friendly site that offers Chinese food in the riverside area.
[EX A]: name[Alimentum], food[Chinese], priceRange[more than £30], area[riverside], familyFriendly[yes]

[EX Q]: There is a coffee shop named Fitzbillies that serves Indian food in the city centre. It is in the high price range, has a 1 out of 5 customer rating, and is not child friendly.
[EX A]: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no]

[EX Q]: A moderately price Indian pub in riverside is called The Mill.
[EX A]:
name[The Mill], eatType[pub], food[Indian], priceRange[moderate], area[riverside]