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 a restaurant serving Japanese food. It has an average customer rating.

Output: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[average]


Input: Consider Input: A coffee shop that serves French food and highly rated is Browns Cambridge. It is not family-friendly, but it is by the riverside near Crowne Plaza Hotel.

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


Input: Consider Input: Located near Rainbow Vegetarian Café, The Rice Boat is an expensive restaurant with a 1 out of 5 customer rating.


Output: name[The Rice Boat], priceRange[high], customer rating[1 out of 5], near[Rainbow Vegetarian Café]