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: North of the city center is a British pub named The Waterman that has really great reviews.

SOLUTION: name[The Waterman], eatType[pub], food[English], customer rating[5 out of 5], area[riverside]

PROBLEM: Zizzi is a non-child friendly coffee shop located near the city centre. While it has high customer reviews, it also has prices ranging from 20-25 pounds.

SOLUTION: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]

PROBLEM: Strada serves moderately priced Indian food.  Located near Rainbow Vegetarian Café, it has a customer rating of 1 out of 5 and is not kid friendly.

SOLUTION:
name[Strada], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Rainbow Vegetarian Café]