Update README.md

README.md

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 ## Abstract
-Data is crucial in various computer-related fields, including Music Information Retrieval (MIR), an interdisciplinary area bridging computer science and music. This paper introduces CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese 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 The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions.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 benchmark evaluations for all datasets using a unified evaluation framework 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. The raw materials used for processing the data in this database are sourced from the <a href="https://ccmusic-database.github.io/en/index.html">ccmusic-database</a> platform.
+Data is crucial in various computer-related fields, including Music Information Retrieval (MIR), an interdisciplinary area bridging computer science and music. This paper introduces CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese 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 The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions.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 benchmark evaluations for all datasets using a unified evaluation framework 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.
 
 ## Cite
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