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: The Cricketers is a coffee shop that offers Fast food to its customers. It is located near The Portland Arms, has a rating of 1 out 5 stars, and is child-friendly.

Output: name[The Cricketers], eatType[coffee shop], food[Fast food], customer rating[1 out of 5], familyFriendly[yes], near[The Portland Arms]


Input: Consider Input: The Rice Boat is an Italian restaurant located near the Express by Holiday Inn in the center of the city. It is not children friendly, with a high price range and a customer rating of 1 out of 5.

Output: name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Fitzbillies is a coffee shop that serves Indian food within a high price range but it is not children friendly and has a customer rating of 1 out of 5.  It is in the riverside area.


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