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.

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

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


Input: Consider Input: There is an expensive pub near the Café Brazil called The Cambridge Blue that sell wines and spirits.

Output: name[The Cambridge Blue], eatType[pub], food[French], priceRange[more than £30], near[Café Brazil]


Input: Consider Input: With high prices, French food and 3 out of 5 stars, The Waterman is a child unfriendly eatery in the city centre.


Output: name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[city centre], familyFriendly[no]