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README.md
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- split: test
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path: data/test-*
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- split: test
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path: data/test-*
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# AudioTokenBench
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This is the evaluation dataset for [HiggsTokenizer](https://github.com/boson-ai/higgs-audio/blob/main/tech_blogs/TOKENIZER_BLOG.md). It contains 3150 audio samples across 4 subsets:
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- **Speech**: 1,000 clips of 10 seconds audio, randomly sampled from [DAPS](https://ccrma.stanford.edu/~gautham/Site/daps.html).
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- **Music**: 1,000 clips of 10 seconds audio, randomly sampled from [MUSDB](https://sigsep.github.io/datasets/musdb.html).
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- **Sound Event**: 1,000 clips of 10 seconds audio, randomly sampled from [AudioSet](https://research.google.com/audioset/index.html).
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- **Audiophile**: Contains 150 clips of 30 seconds audio, curated from eleven high-fidelity test discs. The clips feature both music and sound events, selected for high-quality audio evaluation.
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For detailed evaluation metrics, please refer to our [blog](https://github.com/boson-ai/higgs-audio/blob/main/tech_blogs/TOKENIZER_BLOG.md) and [github](https://github.com/boson-ai/higgs-audio/tree/main).
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