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: There is a sushi restaurant The Eagle with a 5 star rating.

Output: name[The Eagle], food[Japanese], customer rating[5 out of 5]


Input: Consider Input: The Waterman serves Chinese in the high price range, with an average customer rating. It is located in the city center and is children friendly.

Output: name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes]


Input: Consider Input: Near Crowne Plaza Hotel, in the centre of the city is Browns Cambridge. It is a French coffee shop that is rated average and not family-friendly.


Output: name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[average], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]