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AndyShao90/SpeechCommandsV2-C

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Hugging Face2026-03-09 更新2026-03-29 收录
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--- license: apache-2.0 language: - en pretty_name: SC2-C size_categories: - 100K<n<1M --- SpeechCommandsV2-C (SC2-C) serves as a benchmark for [DHAuDS](https://arxiv.org/abs/2511.18421) in the context of test-time adaptation for audio classification. SC2-C, a subset of [SpeechCommands V2](https://research.google/blog/launching-the-speech-commands-dataset), utilizes only test-set samples to address domain shift. Each sample in SC2-C has a duration of 1 second, a sample rate of 16 kHz, and belongs to one of 35 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. SC2-C is further divided into evaluation and adaptation sets, each comprising 154,070 samples and including both levels of all seven corruptions. In total, RS-C consists of 308,140 samples, with each corruption level, such as WHN-L1 or WHN-L2, containing 11,005 samples.
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