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 Plough is an Indian pub near Café Rouge.  They are family friendly and cost less than £20.

Output: name[The Plough], eatType[pub], food[Indian], priceRange[less than £20], familyFriendly[yes], near[Café Rouge]


Input: Consider Input: A good Fast food restaurant is The Phoenix with a high costumer rating and low prices starting at £20-25. Located in city centre.

Output: name[The Phoenix], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre]


Input: Consider Input: When thinking of taking the children out for French cuisine, The Golden Curry is highly recommended with a 5 out of a possible 5 rating.


Output: name[The Golden Curry], food[French], customer rating[5 out of 5], familyFriendly[yes]