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:
In the city centre near Café Rouge you will find a low rated French restaurant named The Golden Curry. It is not family-friendly.

Ex Output:
name[The Golden Curry], food[French], customer rating[low], area[city centre], familyFriendly[no], near[Café Rouge]


Ex Input:
The Rice Boat is an Italian, non kid friendly moderate priced restaurant that is in the riverside area and near Express by Holiday Inn. It rates a 1 out of 5.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Browns Cambridge sits on the riverside, near the Crowne Plaza Hotel, and is a highly rated Italian style coffee shop.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]