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.

Input: Consider Input: The Cambridge Blue is an Indian restaurant with a rating of 3 out of 5.

Output: name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[3 out of 5]


Input: Consider Input: Want to pay less than £20, go to Blue Spice, English food  in the city center.

Output: name[Blue Spice], food[English], priceRange[less than £20], area[city centre]


Input: Consider Input: In the city centre, if you like Japanese food and enjoy a  relaxed pub like environment, try the Green Man, located near Café Rouge


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