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: Near All Bar One is a moderately priced Italian place, with a customer rating of 3 out of 5, it's called Midsummer House.

SOLUTION: name[Midsummer House], food[Italian], priceRange[moderate], customer rating[3 out of 5], near[All Bar One]

PROBLEM: Browns Cambridge serves low rated, high priced Indian food.

SOLUTION: name[Browns Cambridge], food[Indian], priceRange[high], customer rating[1 out of 5]

PROBLEM: The Punter is a fast food coffee shop near Café Sicilia. It has a high customer rating and is not children friendly. Prices range at more than 30 pounds.

SOLUTION:
name[The Punter], eatType[coffee shop], food[Fast food], priceRange[more than £30], customer rating[high], familyFriendly[no], near[Café Sicilia]