The AVS edits dataset is designed to support human feedback research in for clinical summarization. It contains synthetic edit feedback generated by large language models (LLMs) to improve the factual consistency and quality of summaries. The dataset includes training, evaluation, and test splits with specific fields for modeling and evaluation tasks.
