--- license: cc-by-nc-nd-4.0 task_categories: - audio-classification language: - zh - en tags: - music - art pretty_name: Chinese Traditional Instrument Sound Dataset size_categories: - 1K ### Data Fields 219 Chinese instruments ### Default Subset Data Instances .zip(.wav), .csv ### Eval Subset Splits train, validation, test ## Dataset Description ### Dataset Summary A dataset of Chinese instrument audio ### Supported Tasks and Leaderboards MIR, audio classification ### Languages Chinese, English ## Usage ### Default Subset ```python from datasets import load_dataset dataset = load_dataset("ccmusic-database/CTIS", name="default", split="train") for item in dataset: print(item) ``` ### Eval Subset ```python from datasets import load_dataset dataset = load_dataset("ccmusic-database/CTIS", name="eval") for item in ds["train"]: print(item) for item in ds["validation"]: print(item) for item in ds["test"]: print(item) ``` ## Maintenance ```bash GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/CTIS cd CTIS ``` ## Mirror ## Additional Information ### Dataset Curators Zijin Li ### Evaluation [1] [Liang, Xiaojing et al. “Constructing a Multimedia Chinese Musical Instrument Database.” Lecture Notes in Electrical Engineering (2019): n. pag.](https://link.springer.com/content/pdf/10.1007/978-981-13-8707-4_5.pdf)
[2] [Li, R., & Zhang, Q. (2022). Audio recognition of Chinese traditional instruments based on machine learning. Cogn. Comput. Syst., 4, 108-115.](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/ccs2.12047)
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### Citation Information ```bibtex @inproceedings{10.1007/978-981-13-8707-4_5, author = {Xiaojing Liang and Zijin Li and Jingyu Liu and Wei Li and Jiaxing Zhu and Baoqiang Han}, booktitle = {Proceedings of the 6th Conference on Sound and Music Technology (CSMT)}, pages = {53-60}, publisher = {Springer Singapore}, address = {Singapore}, title = {Constructing a Multimedia Chinese Musical Instrument Database}, year = {2019} } ``` ### Contributions An audio dataset for Chinese Instrument