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: Fitzbillies is a coffee shop that offers Fast Food with a moderate price and a customer rating 1 out of 5. It is located in the riverside and there is no kids area.

Output: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Input: Consider Input: In the city centre located near to Yippee Noodle Bar is a Chinese restaurant called Alimentum. Despite being a cheap place to eat it's customers recommend it and gave it a rating of 5 out of 5.

Output: name[Alimentum], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]


Input: Consider Input: The Waterman is a pub offering low price Indian food in the city centre


Output: name[The Waterman], eatType[pub], food[Indian], customer rating[average], area[city centre]