For MuSe-Personalisation, the Ulm-TSST database is used, supplying a multimodal dataset annotated with valence and arousal signals. It features recordings of individuals undergoing the stress inducing TSST scenario. In addition to the audiovisual recordings, Ulm-TSST includes biological recordings, such as Electrocardiogram (ECG), Electrodermal Activity (EDA), Respiration, and Heart Rate (BPM). With 69 participants (69.5% female) aged between 18 and 39 years, a total of about 6 hours were accumulated. For MuSe-Personalisation, parts of the test labels are released in addition to the training and development data, thus facilitating the development of methods tailored to specific individuals.