Assume that you are considering booking accommodation for a $1-$week stay in Hong Kong on Airbnb, and you have multiple potential targets $($e$.$g$.,$ dozens$)$ under consideration.

Note that every accommodations on Airbnb is rated on a $5-$star scale for each of the following $8$ categories: Overall experience,$$cleanliness$,$ accuracy, check$-$in$,$ communication, location, value, and amenities.

Now, suppose that you manage to obtain the rating data for your target rentals, and maintain it in a Python list as follows:

$```$

ratings $=[[3,4,4,5,5,3,5,3],$

$[5,5,5,3,4,4,4,5],$

$[3,5,5,2,4,4,5,2],$

$[5,5,5,5,3,2,4,5],$

$[4,5,3,3,3,4,2,4],$

$[4,5,3,3,2,3,2,5],$

$[3,4,3,4,3,4,5,4]]$

$```$

where each sublist represents the ratings across $8$ categories for one potential rental.

Write Python code $($preferrably a comprehension$)$ to create a list that contains the indices of accommodations that receive the highest rating for each category.

The expected output should look like the following:

$```$

$[[2,4],[2,3,4,5,6],[2,3,4],[1,4],[1],[2,3,5,7],[1,3,7],[2,4,6]]$

$```$