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.

Example Input: Cotto is a coffee Shop It provides fast foods at a reduced price and is located near the river,there The Portland Arms
Example Output: name[Cotto], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], area[riverside], near[The Portland Arms]

Example Input: Strada Sushi is a moderately priced, family friendly restaurant near the Rainbow Vegetarian Café.
Example Output: name[Strada], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: The Punter coffee shop is a family friendly with less than £20 price range serves Japanese food near Café Sicilia has a low customer rating.
Example Output:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Café Sicilia]