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: A Japanese food restaurant in the city centre area is called The Phoenix, they serve Japanese food with a lower customer rating. The prices are more than £30.

SOLUTION: name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre]

PROBLEM: Browns Cambridge in the city centre near Crowne Plaza Hotel is a family-friendly, fast food and coffee shop with a customer rating of 5 out of 5.

SOLUTION: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]

PROBLEM: The Wrestlers coffee shop is located in the riverside area near the Raja Indian Cuisine. It serves Italian food with a moderate price range and is kids-Friendly.

SOLUTION:
name[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]

