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: 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: Blue Spice is expensive with a low rating but it is by the river and is kid friendly.

Output: name[Blue Spice], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes]


Input: Consider Input: Green Man is a kids friendly Japanese restaurant in the moderate price range. It is located near All Bar One in riverside.


Output: name[Green Man], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[yes], near[All Bar One]


