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README.md
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# Dataset Card for Bel Conto and Chinese Folk Song Singing Tech
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The
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Based on the aforementioned
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Since the default subset has not been evaluated, to verify its effectiveness, we have built the `eval subset` based on the default subset for the evaluation of the integrated version of the dataset. The evaluation results can be seen in the [bel_canto](https://www.modelscope.cn/models/ccmusic-database/bel_canto). Below are the data structures and invocation methods of the subsets.
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## Dataset Structure
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<!--img src="https://www.modelscope.cn/api/v1/datasets/ccmusic-database/bel_canto/repo?Revision=master&FilePath=.%2Fdata%2Fbel.png&View=true"-->
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### Data Instances
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.zip(.wav, .jpg)
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# Dataset Card for Bel Conto and Chinese Folk Song Singing Tech
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The original dataset, sourced from the [Bel Canto and National Singing Dataset](https://ccmusic-database.github.io/en/database/ccm.html#shou9), contains 203 acapella singing clips performed in two styles, Bel Canto and Chinese folk singing style, by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
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Based on the aforementioned original dataset, we have constructed the [default subset](#default-subset-1) of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/bel_canto/dataPeview). Since the default subset has not been evaluated, to verify its effectiveness, we have built the [eval subset](#eval-subset-1) based on the default subset for the evaluation of the integrated version of the dataset. The evaluation results can be seen in the [bel_canto](https://www.modelscope.cn/models/ccmusic-database/bel_canto). Below are the data structures and invocation methods of the subsets.
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## Dataset Structure
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<style>
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</tr>
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</table>
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### Data Instances
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.zip(.wav, .jpg)
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