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]: If you are looking for somewhere serving French food there is a children friendly restaurant down by the riverside called The Waterman. I think it is about £30, maybe more and has quite low customer rating.
[EX A]: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes]

[EX Q]: The Vaults is a high price Range children Friendly Fast food restaurant.
[EX A]: name[The Vaults], food[Fast food], priceRange[high], familyFriendly[yes]

[EX Q]: The Eagle coffee shop in the city centre provides cheap Italian food and has achieved high customer satisfaction. It does not cater for families with children. Burger King is nearby.
[EX A]:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Burger King]