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license: mit
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## Abstract
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Data is crucial in various computer-related fields, including Music Information Retrieval (MIR), an interdisciplinary area bridging computer science and music. We introduce CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese and general music, highlighting our focus on this culturally rich domain. The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions. We conduct evaluations for over [six](https://huggingface.co/collections/ccmusic-database/ccmusic-evaluated-benchmark-66af4edb42c34e7a21e2d163) datasets using a unified evaluation [framework](https://github.com/monetjoe/ccmusic_eval) developed specifically for this purpose. This framework supports both classification and detection tasks, and is publicly available, ensuring standardized and reproducible results across all datasets.
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license: mit
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Data is crucial in various computer-related fields, including Music Information Retrieval (MIR), an interdisciplinary area bridging computer science and music. We introduce CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese and general music, highlighting our focus on this culturally rich domain. The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions. We conduct evaluations for over [six](https://huggingface.co/collections/ccmusic-database/ccmusic-evaluated-benchmark-66af4edb42c34e7a21e2d163) datasets using a unified evaluation [framework](https://github.com/monetjoe/ccmusic_eval) developed specifically for this purpose. This framework supports both classification and detection tasks, and is publicly available, ensuring standardized and reproducible results across all datasets.
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