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 Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.

SOLUTION: name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]

PROBLEM: Midsummer House is a budget English restaurant near All Bar One, but it has a low customer rating.

SOLUTION: name[Midsummer House], food[English], priceRange[less than £20], customer rating[low], near[All Bar One]

PROBLEM: The French restaurant, The Waterman, in the riverside area, is not family-friendly but has an average customer rating and offers prices less than 20.

SOLUTION:
name[The Waterman], food[French], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[no]