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: Alimentum is a decent assessment of clients and offers eating fast food at average prices. nearby there is a Yippee Noodle Bar

Output: name[Alimentum], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]


Input: Consider Input: Riverside coffee shop near Burger King, The Eagle, offers Japanese food  and has a 3 out of 5 rating. It is not kid-friendly, but average price.

Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]


Input: Consider Input: The Rice Boat is an affordable Italian restaurant locates in the city centre , near the Express by Holiday Inn.  Although it is not family-friendly, it has very cheap prices.


Output: name[The Rice Boat], food[Italian], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[no], near[Express by Holiday Inn]