Update README.md

README.md

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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 contains two levels, L1 and L2, with L2 representing 
-a higher degree of complexity than L1. Additionally, RS-C comprises evaluation (239,918 samples) and adaptation (239,918 samples) sets, each set includes 
-two levels of seven corruptions. RS-C includes a total of 479,836 samples, and each corruption level, such as WHN-L1 or WHN-L2, consists of 17,137 samples.
+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, 
+with each corruption level, such as WHN-L1 or WHN-L2, containing 17,137 samples.