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: Situated close to Raja Indian Cuisine is The Wrestlers, a Japanese style coffee shop that serves dishes for under twenty pound.

Output: name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]


Input: Consider Input: The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.

Output: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]


Input: Consider Input: Fitzbillies is a coffee shop providing take-away deliveries in the low price range, located near the river.


Output: name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no]