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: The Olive Grove is a pub selling good sushi at low prices , but not familiar. It is north of the City Centre.

SOLUTION: name[The Olive Grove], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[no]

PROBLEM: Near the Burger King in the city centre is an Italian coffee shop called The Eagle. It is not child friendly, has an average customer rating and is in the high price range.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[city centre], familyFriendly[no], near[Burger King]

PROBLEM: French food with a less than £20 price range can be found at Cotto.  It is a coffee shop with an average rating located at the city centre near The Portland Arms.

SOLUTION:
name[Cotto], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], near[The Portland Arms]

