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 Cambridge Blue is a pub near Café Brazil which serves high price Indian food.

Answer: name[The Cambridge Blue], eatType[pub], food[Indian], priceRange[high], near[Café Brazil]


Question: Café Rouge has a restaurant nearby with an average customer rating called Wildwood.

Answer: name[Wildwood], eatType[restaurant], customer rating[average], near[Café Rouge]


Question: Strada is an Italian restaurant near Rainbow Vegetarian Café, that is in the Hugh priced range, with a customer rating of 1 out of 5. It is also children friendly.

Answer:
name[Strada], food[Italian], priceRange[high], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]