A Typology of Synthetic Datasets for Dialogue Processing in Clinical Contexts

ArXi:2505.03025v3 Announce Type: replace-cross Synthetic data sets are used across linguistic domains and NLP tasks, particularly in scenarios where authentic data is limited (or even non-existent). One such domain is that of clinical (healthcare) contexts, where there exist significant and long-standing challenges (e.g., privacy, anonymization, and data governance) which have led to the development of an increasing number of synthetic datasets.