AndyShao90/ReefSet-C
ReefSet-C (RS-C) serves as a benchmark for DHAuDS in the context of test-time adaptation for audio classification. RS-C, a subset of ReefSet, utilizes only test-set samples to address domain shift. Each sample in RS-C has a duration of 1.88 seconds, a sample rate of 16 kHz, and belongs to one of 37 classes. The dataset comprises two sets: adaptation and evaluation sets. Each set comprises seven corruption categories and two levels. Seven corruption categories are defined: WHN, ENQ, END1… See the full description on the dataset page: https://huggingface.co/datasets/AndyShao90/ReefSet-C.
ReefSet-C (RS-C) serves as a benchmark for DHAuDS in the context of test-time adaptation for audio classification. RS-C, a subset of ReefSet, utilizes only test-set samples to address domain shift. Each sample in RS-C has a duration of 1.88 seconds, a sample rate of 16 kHz, and belongs to one of 37 classes. The dataset comprises two sets: adaptation and evaluation sets. Each set comprises seven corruption categories and two levels. Seven corruption categories are defined: WHN, ENQ, END1, END2, ENSC, TST, and PSH. Two levels are defined: L1 and L2, where L2 indicates a higher degree of complexity. As for evaluation and adaptation sets, each comprises 239,918 samples. In total, RS-C consists of 479,836 samples, with each category-level, such as WHN-L1 or WHN-L2, containing 17,137 samples.