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: Alimentum is a decent assessment of clients and offers eating fast food at average prices. nearby there is a Yippee Noodle Bar

Answer: name[Alimentum], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]


Question: There is a family-friendly  coffee shop Aromi in the city centre that provides Italian food but has low customer rating.

Answer: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes]


Question: Near the Rainbow Vegetarian Café is a low rated French restaurant that is family friendly called Strada which will cost less than £20

Answer:
name[Strada], food[French], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]