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: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.

SOLUTION: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]

PROBLEM: A coffee shop that is kid friendly near Raja Indian Cuisine named The Wrestlers in the riverside area has a price range of more than £30 that serves Italian food.

SOLUTION: name[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]

PROBLEM: Located near the Express by Holiday Inn on the riverside, The Rice Boat provides fast food with moderate prices that is kid friendly along with a customer rating of 3 out of 5.

SOLUTION:
name[The Rice Boat], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]