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: Located on the riverside near All Bar One, Green Man is a French venue that costs more than £30 and is not child friendly.

Output: name[Green Man], food[French], priceRange[more than £30], area[riverside], familyFriendly[no], near[All Bar One]


Input: Consider Input: Children friendly Japanese food Strada which has low customer rating and price range more than £30 is served near Rainbow Vegetarian Café.

Output: name[Strada], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]


Input: Consider Input: Midsummer House is a fast -food restaurant with a customer rating of 1 out of 5. It is situated near All Bar One which has a high price range.


Output: name[Midsummer House], food[Fast food], priceRange[high], customer rating[1 out of 5], near[All Bar One]