Dataset Card for Chinese Traditional Instrument Sound
The original dataset is sourced from the Chinese Traditional Instrument Sound, which contains recordings from over 200 types of Chinese traditional instruments, modified Chinese musical instruments, and instruments from ethnic minority groups. Notably, some of these instruments are rarely encountered by the majority of the Chinese populace.
Based on the aforementioned original dataset, after data processing, we have constructed the default subset of the current integrated version of the dataset, and its data structure can be viewed in the viewer. As the dataset has been cited and used in published articles, the step of further constructing the eval subset for evaluation has been omitted. This dataset is intended for retrieval tasks, hence no further splits have been made, and currently, there is only one split, which is the trainset.
Viewer
https://www.modelscope.cn/datasets/ccmusic-database/CTIS/dataPeview
Dataset Structure
audio | mel | label (200+class) | cname (string) |
.wav, 44100Hz | .jpg, 44100Hz | C0090/ C0091/ ... T0323 |
大笒/ 高音横笛/ ... 都它尔 |
... | ... | ... | ... |
Maintenance
git clone [email protected]:datasets/ccmusic-database/CTIS
cd CTIS
Dataset Summary
During the integration, we first performed data cleaning to remove recordings with no specific instrument labels. The filtered dataset comprises recordings of 200 types of Chinese traditional musical instruments, totaling 3,974 audio clips. On average, there are approximately 20 audio clips per instrument. The data structure of the integrated dataset consists of three columns: an audio column containing audio files in .wav format, all sampled at a uniform rate of 22,050 Hz, a label column with 200 categories corresponding to the Chinese pinyin of the instrument names, and an additional column for the Chinese instrument names. This integrated dataset can be utilized for tasks such as Chinese instrument recognition or instrument acoustic analysis.
Supported Tasks and Leaderboards
MIR, audio classification
Languages
Chinese, English
Usage
from datasets import load_dataset
dataset = load_dataset("ccmusic-database/CTIS", split="train")
for item in dataset:
print(item)
Data Instances
.zip(.wav), .csv
Data Fields
Up to 287 kinds of Chinese traditional musical instruments, improved Chinese musical instruments and Chinese ethnic musical instruments
Data Splits
instruments, percussion
Dataset Creation
Curation Rationale
Lack of a dataset for Chinese traditional musical instruments
Source Data
Initial Data Collection and Normalization
Zhaorui Liu, Monan Zhou
Who are the source language producers?
Students from CCMUSIC
Annotations
Annotation process
Building a high-quality musical sound database requires consideration on every aspect of the criteria in terms of the recording environment, performer, sample content, annotation standard and quality of recording and performing.
Who are the annotators?
Students from CCMUSIC
Personal and Sensitive Information
None
Considerations for Using the Data
Social Impact of Dataset
Advancing the Digitization Process of Traditional Chinese Instruments
Discussion of Biases
Only for Traditional Chinese Instruments
Other Known Limitations
Sample imbalance
Additional Information
Dataset Curators
Zijin Li
Evaluation
[1] 李子晋, 韩宝强. 中国传统乐器音响数据库构建研究[J]. 中国音乐学, 2020(02):92-102+2.
[2] Liang X, Li Z, Liu J, et al. Constructing a multimedia Chinese musical instrument database[C]//Proceedings of the 6th Conference on Sound and Music Technology (CSMT). Springer, Singapore, 2019: 53-60.
[3] Li Z, Liang X, Liu J, et al. DCMI: A Database of Chinese Musical Instruments[J].
Citation Information
@dataset{zhaorui_liu_2021_5676893,
author = {Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li and Baoqiang Han},
title = {CCMusic: an Open and Diverse Database for Chinese and General Music Information Retrieval Research},
month = {mar},
year = {2024},
publisher = {HuggingFace},
version = {1.2},
url = {https://huggingface.co/ccmusic-database}
}
Contributions
Provide a dataset for Chinese Traditional Instrument Sounds
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