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: The Golden Curry near The Bakers are not children friendly,they serve French food with the price Range more than  £30.

Output: name[The Golden Curry], food[French], priceRange[more than £30], familyFriendly[no], near[The Bakers]


Input: Consider Input: Taste of Cambridge is a family friendly coffee shop on the riverside near the Crowne Plaza Hotel offering Indian food.

Output: name[Taste of Cambridge], eatType[coffee shop], food[Indian], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


Input: Consider Input: Indian restaurant Midsummer House has an average customer rating and is found near All Bar One. It has a high price range.


Output: name[Midsummer House], food[Indian], priceRange[high], customer rating[average], near[All Bar One]