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 Rice Boat is not kids friendly but has Italian food at a moderate price range and a 3 out of 5 rating can be found near the Express by Holiday Inn in the city centre.

SOLUTION: name[The Rice Boat], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: A cheap family Friendly Indian called Strada near Rainbow Vegetarian Café with a average customer rating.

SOLUTION: name[Strada], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Rainbow Vegetarian Café]

PROBLEM: Browns Cambridge restaurant offers mid-price traditional British fare.

SOLUTION:
name[Browns Cambridge], food[English], priceRange[moderate], customer rating[3 out of 5]