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:
Blue Spice is a Chinese restaurant. it has cheap prices. It is locate din riverside,

Ex Output:
name[Blue Spice], food[Chinese], priceRange[cheap], area[riverside]


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:
The Italian restaurant, The Rice Boat, has a low customer rating and is not family-friendly, but meals are less than £20. It is located in the city centre near Express by Holiday Inn.

Ex Output:

name[The Rice Boat], food[Italian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]