ADTOF This repository contains the datasets curated and used in the following works: M. Zehren, M. Alunno, and P. Bientinesi, "ADTOF: A large dataset of non-synthetic music for automatic drum transcription," in Proceedings of the 22st International Society for Music Information Retrieval Conference, Online, 2021, pp. 818–824. Zehren, M.; Alunno, M.; Bientinesi, P. High-Quality and Reproducible Automatic Drum Transcription From Crowdsourced Data. Signals 2023, 1, 1–21. If you want to train your model, a copy of the ADTOF datasets is available upon request here. The datasets contain 359 hours of music annotated for automatic drum transcription. The data is available as mel-scale spectrograms. Once downloaded, the datasets can be loaded with this GitHub repository. Conditions of use The provided datasets are offered free of charge for internal non-commercial use. No reverse engineering. Do not redistribute, modify, or disassemble the datasets. 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.