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: Cotto is a coffee shop that offers delicious Indian food, although the price range is high, you will be pleased to know Cotto has high customer ratings. It is located in Riverside near The Portland Arms.

SOLUTION: name[Cotto], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], near[The Portland Arms]

PROBLEM: Cheap English food can be found at the family Friendly restaurant The Wrestlers. Its customer Rating is 5 out of 5.

SOLUTION: name[The Wrestlers], food[English], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]

PROBLEM: Situated in the riverside area near to Café Rouge, The Golden Curry is  family friendly and provides English food. It has a low customer rating.

SOLUTION:
name[The Golden Curry], food[English], customer rating[low], area[riverside], familyFriendly[yes], near[Café Rouge]