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:
By The Rice Boat in the center of the city a French restaurant called Loch Fyne is rated 5 out of 5 by customers.

Ex Output:
name[Loch Fyne], food[French], customer rating[5 out of 5], area[city centre], near[The Rice Boat]


Ex Input:
The Plough is a high priced Indian pub near Café Rouge.

Ex Output:
name[The Plough], eatType[pub], food[Indian], priceRange[high], familyFriendly[no], near[Café Rouge]


Ex Input:
In riverside, near Crowne Plaza Hotel, Browns Cambridge coffee shop has a 3 out of 5 customer rating, serves fast food and is kid friendly.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]