It includes 10 data sets that consists of both raw data set and encoded data set where it is encoded through BERT-Sort Encoder with MLM initialization of .
In each data set folder, there are original files and encoded data sets with 4 different MLMs. For instance, bank/bank.csv is the original file for raw data set and bank/bank.csv_bs__roberta.csv is encoded raw data set with BERT-Sort Encoder which is initiated with RoBERTa MLM. Both raw and encoded data sets have been used to evaluate the proposed approach in 5 AutoML platforms.
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