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:
Cocum is a child friendly, pub styled restaurant, that is pretty expensive but rated average.

Ex Output:
name[Cocum], eatType[pub], priceRange[high], customer rating[average], familyFriendly[yes]


Ex Input:
Near Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.

Ex Output:
name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]


Ex Input:
Midsummer House near, Café Rouge, serves a 5 out of 5, French menu

Ex Output:

name[Midsummer House], food[French], customer rating[5 out of 5], near[Café Rouge]