{"url":"/dataset/openmic-2018","name":"OpenMIC-2018","full_name":null,"description_markdown":"**OpenMIC-2018** is an instrument recognition dataset containing 20,000 examples of Creative Commons-licensed music available on the [Free Music Archive](http://freemusicarchive.org/). Each example is a 10-second excerpt which has been partially labeled for the presence or absence of 20 instrument classes by annotators on a crowd-sourcing platform.\n\nSource: [OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition](http://ismir2018.ircam.fr/doc/pdfs/248_Paper.pdf)\nImage Source: [OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition](http://ismir2018.ircam.fr/doc/pdfs/248_Paper.pdf)\nAudio Source: [https://zenodo.org/record/1432913](https://zenodo.org/record/1432913)","description_withheld":null,"homepage":"https://zenodo.org/record/1432913","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition","first_author":null,"url":"http://ismir2018.ircam.fr/doc/pdfs/248_Paper.pdf"},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Audio Source Separation","url":"/task/audio-source-separation","datasets_with_task":"/datasets/task/audio-source-separation"},{"name":"Instrument Recognition","url":"/task/instrument-recognition","datasets_with_task":"/datasets/task/instrument-recognition"},{"name":"Music Information Retrieval","url":"/task/music-information-retrieval","datasets_with_task":"/datasets/task/music-information-retrieval"}],"languages":[],"variants":["OpenMIC-2018"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/instrument-recognition-on-openmic-2018","task":"Instrument Recognition","dataset_variant":"OpenMIC-2018","rows":5,"metrics":["mean average precision"],"first_row_in_archive_order":{"model":"DyMN-L","paper":"/paper/dynamic-convolutional-neural-networks-as","metrics":{"mean average precision":"0.855"},"code_links":[{"title":"fschmid56/efficientat","url":"https://github.com/fschmid56/efficientat"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/masked-latent-prediction-and-classification","title":"Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning","date":"2025-02-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dynamic-convolutional-neural-networks-as","title":"Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models","date":"2023-10-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/audio-embeddings-as-teachers-for-music","title":"Audio Embeddings as Teachers for Music Classification","date":"2023-06-30","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/efficient-training-of-audio-transformers-with","title":"Efficient Training of Audio Transformers with Patchout","date":"2021-10-11","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}