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: Browns Cambridge is an Indian restaurant that is not family friendly and located near The Sorrento, near the city centre.

Output: name[Browns Cambridge], food[Indian], area[city centre], familyFriendly[no], near[The Sorrento]


Input: Consider Input: Near The Portland Arms, In the city centre of city,  is a 3of5 stars coffee shop price moderate called Cotto, serves Fast food

Output: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[The Portland Arms]


Input: Consider Input: Near the river is The Eagle. It is expensive but has 5 stars.


Output: name[The Eagle], priceRange[more than £30], customer rating[5 out of 5], area[riverside]