Datasets:
Size:
10K<n<100K
License:
| license: mit | |
| task_categories: | |
| - audio-classification | |
| language: | |
| - zh | |
| - en | |
| tags: | |
| - music | |
| - art | |
| pretty_name: Music Genre Database | |
| size_categories: | |
| - 1K<n<10K | |
| # Dataset Card for Music Genre Dataset | |
| ## Dataset Description | |
| - **Homepage:** <https://ccmusic-database.github.io> | |
| - **Repository:** <https://huggingface.co/datasets/ccmusic-database/music_genre> | |
| - **Paper:** <https://doi.org/10.5281/zenodo.5676893> | |
| - **Leaderboard:** <https://ccmusic-database.github.io/team.html> | |
| - **Point of Contact:** N/A | |
| ### Dataset Summary | |
| This database contains about 1700 musical pieces (.mp3 format) with lengths of 270-300s that are divided into 17 genres in total. | |
| ### Supported Tasks and Leaderboards | |
| Audio classification | |
| ### Languages | |
| Multilingual | |
| ## Usage | |
| When doing classification task, only one colum of fst_level_label, sec_level_label and thr_level_label can be used, not for mixing. | |
| ``` | |
| from datasets import load_dataset | |
| dataset = load_dataset("ccmusic-database/music_genre", split="test") | |
| for item in dataset: | |
| print(item) | |
| ``` | |
| ## Dataset Structure | |
| ### Data Instances | |
| .zip(.jpg) | |
| ### Data Fields | |
| ``` | |
| 1_Classic | |
| 3_Symphony | |
| 4_Opera | |
| 5_Solo | |
| 6_Chamber | |
| 2_Non_classic | |
| 7_Pop | |
| 12_Pop_vocal_ballad | |
| 13_Adult_contemporary | |
| 14_Teen_pop | |
| 8_Dance_and_house | |
| 15_Contemporary_dance_pop | |
| 16_Dance_pop | |
| 9_Indie | |
| 17_Classic_indie_pop | |
| 18_Chamber_cabaret_and_art_pop | |
| 10_Soul_or_r_and_b | |
| 11_Rock | |
| 19_Adult_alternative_rock | |
| 20_Uplifting_anthemic_rock | |
| 21_Soft_rock | |
| 22_Acoustic_pop | |
| ``` | |
| ### Data Splits | |
| Train, valid, test | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| Promoting the development of AI in the music industry | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| Zhaorui Liu, Monan Zhou | |
| #### Who are the source language producers? | |
| Composers of the songs in dataset | |
| ### Annotations | |
| #### Annotation process | |
| Students collected about 1700 musical pieces (.mp3 format) with lengths of 270-300s divided into 17 genres in total. | |
| #### Who are the annotators? | |
| Students from CCMUSIC | |
| ### Personal and Sensitive Information | |
| Due to copyright issues with the original music, only mel spectrograms are provided in the dataset. | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| Promoting the development of AI in the music industry | |
| ### Discussion of Biases | |
| Most are English songs | |
| ### Other Known Limitations | |
| Samples are not balanced enough | |
| ## Additional Information | |
| ### Dataset Curators | |
| Zijin Li | |
| ### Evaluation | |
| Coming soon... | |
| ### Licensing Information | |
| ``` | |
| MIT License | |
| Copyright (c) CCMUSIC | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| SOFTWARE. | |
| ``` | |
| ### Citation Information | |
| ``` | |
| @dataset{zhaorui_liu_2021_5676893, | |
| author = {Zhaorui Liu, Monan Zhou, Shenyang Xu, Zhaowen Wang, Wei Li and Zijin Li}, | |
| title = {CCMUSIC DATABASE: A Music Data Sharing Platform for Computational Musicology Research}, | |
| month = {nov}, | |
| year = {2021}, | |
| publisher = {Zenodo}, | |
| version = {1.1}, | |
| doi = {10.5281/zenodo.5676893}, | |
| url = {https://doi.org/10.5281/zenodo.5676893} | |
| } | |
| ``` | |
| ### Contributions | |
| Provide a dataset for music genre classification |