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: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.

SOLUTION: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]

PROBLEM: Indian restaurant Midsummer House has an average customer rating and is found near All Bar One. It has a high price range.

SOLUTION: name[Midsummer House], food[Indian], priceRange[high], customer rating[average], near[All Bar One]

PROBLEM: The Golden Curry is a family-friendly fast food restaurant rated 5 out of 5 and located in the city centre near Café Rouge.

SOLUTION:
name[The Golden Curry], food[Fast food], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Café Rouge]

