I am actually working on “spelling correction” task. For this task I have pre-trained the BERT model using masked language model. After pre-training, I want to fine-tune the model. We know that the dataset for spelling correction usually contains incorrect and its correct version in the file. So, how can I give the dataset which contains incorrect as well as correct versions while fine-tuning (how to give the labels? I am not understanding that part)? It would be grateful, if you help me in this regard.