I am looking to fine-tune a BART-large model for a summarization task and I am creating a dataset to tune on.  How should I structure this dataset?  Should it have a column of text blocks and another column with associated summaries?  Or, will simply providing the raw text (the text blocks) without summaries suffice? Thanks!