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 ReefSet-C (RS-C) serves as a benchmark for [DHAuDS](https://arxiv.org/abs/2511.18421) in the context of test-time adaptation for audio classification.
-RS-C, a subset of [ReefSet](https://arxiv.org/abs/2404.16436), 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 seven corruption sets: WHN, ENQ, END1, END2, ENSC, TST,
 and PSH. Each corruption set is divided into two levels, L1 and L2, where L2 indicates a higher degree of complexity. RS-C is further divided into
 evaluation and adaptation sets, each comprising 239,918 samples and including both levels of all seven corruptions. In total, RS-C consists of 479,836 samples,

 ---
 ReefSet-C (RS-C) serves as a benchmark for [DHAuDS](https://arxiv.org/abs/2511.18421) in the context of test-time adaptation for audio classification.
+RS-C, a subset of [ReefSet](https://zenodo.org/records/11071202), 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 seven corruption sets: WHN, ENQ, END1, END2, ENSC, TST,
 and PSH. Each corruption set is divided into two levels, L1 and L2, where L2 indicates a higher degree of complexity. RS-C is further divided into
 evaluation and adaptation sets, each comprising 239,918 samples and including both levels of all seven corruptions. In total, RS-C consists of 479,836 samples,