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: the Strada sells Chinese food at moderate prices. i give it 3 out of 5 stars and this place is kids friendly. it is next to Rainbow Vegetarian Café
Example Output: name[Strada], food[Chinese], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: The Plough is a high priced family pub located in short proximity to Café Rouge. The pub features wine and spirits as well as small plates.
Example Output: name[The Plough], eatType[pub], food[French], priceRange[more than £30], familyFriendly[yes], near[Café Rouge]

Example Input: The Dumpling Tree is a restaurant providing Chinese food in the more than £30 price range.
Example Output:
name[The Dumpling Tree], eatType[restaurant], food[Chinese], priceRange[more than £30]