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:
The Rice Boat is adults only, upscale Italian dining, near the Express by Holiday Inn, in Riverside, that has a customer rating of 1 out of 5.

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


Ex Input:
Green Man is a pub that serves Indian food in the city centre area near Café Rouge.

Ex Output:
name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]


Ex Input:
If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.

Ex Output:

name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]