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]: Midsummer House is a fast -food restaurant with a customer rating of 1 out of 5. It is situated near All Bar One which has a high price range.
[EX A]: name[Midsummer House], food[Fast food], priceRange[high], customer rating[1 out of 5], near[All Bar One]

[EX Q]: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.
[EX A]: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]

[EX Q]: The Vaults is a low rated pub located near Café Adriatic. It has a price range under £20.
[EX A]:
name[The Vaults], eatType[pub], priceRange[less than £20], customer rating[low], near[Café Adriatic]