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: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.

SOLUTION: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]

PROBLEM: The Golden Curry is located near Café Rouge North of the city centre. They serve tapas. It has perfect reviews.

SOLUTION: name[The Golden Curry], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Café Rouge]

PROBLEM: Blue Spice is a coffee shop is located in the city center with a price range of cheap. It is family-friendly and located near Avalon with a 5 out of 5 rating.

SOLUTION:
name[Blue Spice], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Avalon]