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 Input:
A children friendly coffee shop located in the riverside area near Café Sicilia, The Dumpling Tree has prices more than £30.

Ex Output:
name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Café Sicilia]


Ex Input:
There is a  kids Friendly The Wrestlers with  moderate price range that provides Fast food and has customer rating of 1 out of 5.

Ex Output:
name[The Wrestlers], food[Fast food], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no]


Ex Input:
Midsummer House is a five-star high-priced restaurant that offers cheese and wine. It is just opposite All Bar One in the city centre.

Ex Output:

name[Midsummer House], food[French], priceRange[more than £30], customer rating[5 out of 5], near[All Bar One]