The MASCFLICHT corpus is a novel speech dataset for face mask type and coverage area recognition collected with a Xiaomi Mi 10 smartphone. The dataset contains 2 h 27 m 55 s of data from 30 German speakers (15 f, 15 m), with a mean age of 25.7 (± 9.1) years old. The available data is split in 3 (train/devel/test) participant-independent and gender-balanced partitions and contains speech samples of the 30 participants recorded under five different conditions: i) without face mask, ii) wearing a surgical mask only with the mouth covered, iii) wearing a surgical mask with both the mouth and the nose covered, iv) wearing an FFP2 mask only with the mouth covered, and v) wearing an FFP2 mask with both the mouth and the nose covered. A detailed documentation of this dataset can be found in [1]. If you use the MASCFLICHT Corpus in your research work, you are kindly asked to cite [1] in your publications. [1] A. Mallol-Ragolta, N. Urbach, S. Liu, A. Batliner, and B. Schuller, “The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech,” in Proceedings of the 24th Annual Conference of the International Speech Communication Association, (Dublin, Ireland), ISCA, 2023.