What types of training data are best for summarization tasks?

What types of training data are best for summarization tasks?

For summarization tasks, high-quality datasets that include diverse text sources, such as news articles, academic papers, and social media posts, are ideal.

Can you give me examples of specific datasets?

Sure! Some popular datasets include the CNN/Daily Mail dataset, the XSum dataset, and the Gigaword dataset.

How do I preprocess this data for training?

Preprocessing typically involves cleaning the text, removing unnecessary formatting, tokenization, and possibly creating input-output pairs for training.

What metrics should I use to evaluate summarization models?

Common metrics include ROUGE scores, BLEU scores, and human evaluation for assessing the quality of generated summaries.