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: 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]

PROBLEM: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.

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

PROBLEM: For cheap fast food there is Midsummer House close to All Bar One.  Customers have rated it 5 out of 5.

SOLUTION:
name[Midsummer House], food[Fast food], priceRange[cheap], customer rating[5 out of 5], near[All Bar One]