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: Blue Spice is a cheap, non-family-friendly restaurant in riverside with a 5 out of 5 customer rating.

Output: name[Blue Spice], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]


Input: Consider Input: Adult only expensive riverside area restaurant The Rice Boat features great Italian food and is close to the Express by Holiday Inn

Output: name[The Rice Boat], food[Italian], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


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]