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.

Q: The Eagle is a French coffee shop located near Burger King in riverside. At a customer rating of 5 out of 5 and its cheap this makes a great family friendly place.

A: name[The Eagle], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Burger King]
****
Q: In the city centre you will find a moderately priced Fast food coffee shop called The Eagle. It is located near Burger King, is not kid friendly and has a customer rating of 1 out of 5.

A: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]
****
Q: Browns Cambridge is a coffee shop that is family-friendly they serve fast food that is in City center that is near Crowne Plaza Hotel that has a low customer rating.

A:
name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]
****
