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.
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Question: The Aromi is an Indian coffee shop in a riverside location. It has a high customer rating and is child friendly.

Answer: name[Aromi], eatType[coffee shop], food[Indian], customer rating[high], area[riverside], familyFriendly[yes]


Question: A restaurant named The Golden Curry is located near The Bakers. It has Indian food and is not kid friendly with a moderate price range

Answer: name[The Golden Curry], food[Indian], priceRange[moderate], familyFriendly[no], near[The Bakers]


Question: There is a coffee shop located in the city centre, near Raja Indian Cuisine, in the high price range. The Wrestlers provides Fast food but no children friendly menu or services are offered.

Answer:
name[The Wrestlers], eatType[coffee shop], food[Fast food], priceRange[high], area[city centre], familyFriendly[no], near[Raja Indian Cuisine]


