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### Dataset Summary
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Due to the pre-existing split in the raw dataset, wherein the data has been partitioned approximately in a 4:1 ratio for training and testing sets, we uphold the original data division approach. In contrast to utilizing platform-specific automated splitting mechanisms, we directly employ the pre-split data for subsequent integration steps.
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### Supported Tasks and Leaderboards
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MIR, audio classification
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### Dataset Summary
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Due to the pre-existing split in the raw dataset, wherein the data has been partitioned approximately in a 4:1 ratio for training and testing sets, we uphold the original data division approach. In contrast to utilizing platform-specific automated splitting mechanisms, we directly employ the pre-split data for subsequent integration steps.
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#### Totals 总量统计
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| Statistical items 统计项 | Values 值 |
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| :------------------------------: | :------------------: |
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| Total count 总数据量 | `2824` |
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| Total duration(s) 总时长(秒) | `3838.6787528344717` |
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| Mean duration(s) 平均时长(秒) | `1.359305507377644` |
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| Min duration(s) 最短时长(秒) | `0.3935827664399093` |
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| Max duration(s) 最长时长(秒) | `11.5` |
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| Eval subset total 评估子集总量 | `2899` |
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| Class with max durs 最长时长类别 | `glissando` |
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### Supported Tasks and Leaderboards
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MIR, audio classification
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