How to set a class_weight Dictionary for Random Forest?

I’m dealing with an unbalanced dataset, so I decided to use a weight dictionary for classification.

Documentation says that a weight dict must be defined as shown below:
https://imbalanced-learn.org/stable/generated/imblearn.ensemble.BalancedRandomForestClassifier.html

     weight_dict = [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}]

So, since I want to predict 12 classes which are located in the last column.
I assume that the setting would be like:

weight_dict = [{0: 1, 1: 5.77390289e-01}, {0: 1, 1: 6.48317326e-01}, 
               {0: 1, 1: 1.35324885e-01}, {0: 1, 1: 2.92665797e+00}, 
               {0: 1, 1: 5.77858906e+01}, {0: 1, 1: 1.73193507e+00},
               {0: 1, 1: 9.27828244e+00}, {0: 1, 1: 1.18766082e+01}, 
               {0: 1, 1: 8.99009985e+01}, {0: 1, 1: 6.39833279e+00}, 
               {0: 1, 1: 2.55347077e+01}, {0: 1, 1: 9.47015372e+02}]

Honestly, I don’t clearly understand the notation of the first indicators, I mean the:

      0:1 of {0: 1, 1: 1} 

or the:

 1: value.

Do they represent column position, label order?

What is the right way to set it?

I’ll be grateful for your insights.