I am following fastai v2 text classification tutorial (ULMFiT approach) using my own dataset. The first language model part went fine, thenI had an issue on loading my multilabel dataset for classification part.
I am currently on fastai 2.0.8. My dataset is a pandas dataframe and looks like this.
You can either use res_col_name to change the output column name, or just understand that TextBlock.from_df is going to put the tokenised text into a column called text no matter what your source column is called: