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: There is a family-friendly pub with cheap prices The Olive Grove located in city centre.

SOLUTION: name[The Olive Grove], eatType[pub], priceRange[less than £20], area[city centre], familyFriendly[yes]

PROBLEM: Italian family friendly near Café Sicilia is The Punter which is a cheap coffee shop with average rating.

SOLUTION: name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Café Sicilia]

PROBLEM: The Waterman is an Indian restaurant located in the centre of the city. It has a moderate price range and a customer rating of 3 out of 5, and it is kid friendly.

SOLUTION:
name[The Waterman], food[Indian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[yes]