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 Cambridge Blue is a restaurant serving Japanese food. It has an average customer rating.

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


Input: Consider Input: Green Man is a pub that serves Indian food in the city centre area near Café Rouge.

Output: name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]


Input: Consider Input: Blue Spice is children-friendly, highly priced and near riverside. It has an average customer rating.


Output: name[Blue Spice], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes]