PriMock57: A Dataset Of Primary Care Mock Consultations

Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably produce automatic transcripts of clinicianpatient conversations. However, access to clinical datasets is heavily restricted due to patient privacy, thus slowing down normal research practices. We detail the development of a public access, high quality dataset comprising of 57 mocked primary care consultations, including audio recordings, their manual utterancelevel transcriptions, and the associated consultation notes. Our work illustrates how the dataset can be used as a benchmark for conversational medical ASR as well as consultation note generation from transcripts.