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: Midsummer House serves a French food, and this French restaurant is locate  near Café Rouge. Midsummer House, but it has average rating.

Output: name[Midsummer House], food[French], customer rating[average], near[Café Rouge]


Input: Consider Input: There is a children friendly high-priced restaurant called Green Man located near the All Bar One in the city centre that provides Chinese food.

Output: name[Green Man], food[Chinese], priceRange[high], area[city centre], familyFriendly[yes], near[All Bar One]


Input: Consider Input: The fast food, family friendly restaurant called Loch Fyne offers food in attractive prices.


Output: name[Loch Fyne], eatType[restaurant], food[Fast food], priceRange[less than £20], familyFriendly[yes]