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: In the riverside area near The Portland Arms, The Punter is a choice that is both frugally priced and family friendly.

SOLUTION: name[The Punter], priceRange[cheap], area[riverside], familyFriendly[yes], near[The Portland Arms]

PROBLEM: Near All Bar One, Midsummer House serves Indian food for high prices and is rated one out of five stars.

SOLUTION: name[Midsummer House], food[Indian], priceRange[high], customer rating[1 out of 5], near[All Bar One]

PROBLEM: The Phoenix is by the riverside. It has fast food for a high price and an average customer rating.

SOLUTION:
name[The Phoenix], food[Fast food], priceRange[high], customer rating[average], area[riverside]