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.

Browns Cambridge is a cheaper Japanese venue however its rating by customers is low.
name[Browns Cambridge], food[Japanese], priceRange[less than £20], customer rating[low]

In city centre there is an Indian place called Loch Fyne, it has low ratings but is right there near The Rice Boat.
name[Loch Fyne], food[Indian], customer rating[low], area[city centre], near[The Rice Boat]

An Italian coffee shop near The Portland Arms that is not family-friendly is called The Cricketers. It has an average customer rating.

name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[average], familyFriendly[no], near[The Portland Arms]