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: For those with a larger budget, Fitzbillies is an Italian style coffee shop located on the riverside.

Output: name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]


Input: Consider Input: If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.

Output: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]


Input: Consider Input: Green Man is found near All Bar One, riverside. They have a price range of less than £20 for Chinese food. They are said to be family friendly.


Output: name[Green Man], food[Chinese], priceRange[less than £20], area[riverside], familyFriendly[yes], near[All Bar One]