TASK DEFINITION: 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.
PROBLEM: there is a cheap French coffee shop named Cotto that has 5 out of 5 customer rating near The Portland Arms in the riverside area

SOLUTION: name[Cotto], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[The Portland Arms]

PROBLEM: The Punter sells French food. its price range is less than £20.

SOLUTION: name[The Punter], food[French], priceRange[less than £20]

PROBLEM: Priced at more than L30, the family friendly pub The Plough is currently serving Indian food near Café Rouge.

SOLUTION:
name[The Plough], eatType[pub], food[Indian], priceRange[more than £30], familyFriendly[yes], near[Café Rouge]