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: 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: Located in Riverside, near The Rice Boat, The Twenty Two is a children friendly restaurant with a high price range and a low customer rating.

Output: name[The Twenty Two], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[The Rice Boat]


Input: Consider Input: The Rice Boat is a very highly rated but low-priced riverside restaurant.  It is located in riverside, near the Express by Holiday Inn, and is not family-friendly.


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