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 Golden Curry where you can eat Chinese. Low customer rating. Riverside area near Café Rouge. Family Friendly.

Output: name[The Golden Curry], food[Chinese], customer rating[low], area[riverside], familyFriendly[yes], near[Café Rouge]


Input: Consider Input: The Rice Boat is a low cost, family friendly coffee shop situated by the river.

Output: name[The Rice Boat], food[Fast food], customer rating[low], area[riverside], familyFriendly[yes]


Input: Consider Input: Near The Sorrento in Riverside is a high priced French coffee shop, The Mill.


Output: name[The Mill], eatType[coffee shop], food[French], priceRange[high], area[riverside], near[The Sorrento]