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:
Japanese coffee shop called Browns Cambridge near Crowne Plaza Hotel in the city centre. It has a customer rating of 5 out of 5, but it is not family-friendly.

Ex Output:
name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]


Ex Input:
Browns Cambridge is a family-friendly coffee shop that serves Italian food in the city centre.  It is near the Crowne Plaza Hotel and has a low customer rating.

Ex Output:
name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]


Ex Input:
The Wrestlers is an French food serving restaurant. It has a great customer rating of 3 out of 5, the place is also child friendly and the price range is high.

Ex Output:

name[The Wrestlers], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[yes]