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: Alimentum has a customer rating of 1 out of 5 and serves moderately priced Italian food near Yippee Noodle Bar in the riverside area.

A: name[Alimentum], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]
****
Q: Browns Cambridge is a coffee shop that also serves Italian food.  This is not a family-friendly establishment.  Browns Cambridge is located north of City centre, on the river near Crowne Plaza Hotel.

A: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]
****
Q: The Rice Boat provides Indian food in the moderate price range. It is located in the city centre. It is near Express by Holiday Inn. Its customer rating is 1 out of 5.

A:
name[The Rice Boat], food[Indian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
****
