pytorch_neural_symbolic_machines
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How to preprocess
You mention in README.md
you "revised the data pre-processing script, and re-processed the WikiTableQuestions dataset." I see the data utility functions in nsm/data_utils.py
, but I don't see a preprocessing script or any explanation of how the preprocessing was done. I'm trying to fine-tune TaBERT for a classification task but I don't see here or in the TaBERT repo a description of the input format required by table_bert.dataset
or how to achieve that format. Thanks!