{"url":"/dataset/lakh-pianoroll-dataset","name":"Lakh Pianoroll Dataset","full_name":null,"description_markdown":"The Lakh Pianoroll Dataset (LPD) is a collection of 174,154\n[multitrack pianorolls](https://salu133445.github.io/lakh-pianoroll-dataset/representation) derived from the\n[Lakh MIDI Dataset](http://colinraffel.com/projects/lmd/) (LMD).\n\n## Getting the dataset\n\nWe provide multiple subsets and versions of the dataset (see\n[here](https://salu133445.github.io/lakh-pianoroll-dataset/comparisons)). The dataset is available [here](https://salu133445.github.io/lakh-pianoroll-dataset/dataset).\n\n## Using LPD\n\nThe multitrack pianorolls in LPD are stored in a special format for efficient\nI/O and to save space. We recommend to load the data with\n[Pypianoroll](https://salu133445.github.io/pypianoroll/) (The dataset is created\nusing Pypianoroll v0.3.0.). See [here](https://salu133445.github.io/pypianoroll/save_load.html)\nto learn how the data is stored and how to load the data properly.\n\n## License\n\nLakh Pianoroll Dataset is a derivative of\n[Lakh MIDI Dataset](http://colinraffel.com/projects/lmd/) by\n[Colin Raffel](http://colinraffel.com), used under\n[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).\nLakh Pianoroll Dataset is licensed under\n[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) by\n[Hao-Wen Dong](https://salu133445.github.io) and\n[Wen-Yi Hsiao](https://github.com/wayne391).\n\nPlease cite the following papers if you use Lakh Pianoroll Dataset in a\npublished work.\n\n- Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, and Yi-Hsuan Yang,\n  \"__MuseGAN: Multi-track Sequential Generative Adversarial Networks for\n  Symbolic Music Generation and Accompaniment__,\"\n  in _Proceedings of the 32nd AAAI Conference on Artificial Intelligence_\n  (AAAI), 2018.\n\n- Colin Raffel,\n  \"__Learning-Based Methods for Comparing Sequences, with Applications to\n  Audio-to-MIDI Alignment and Matching__,\"\n  _PhD Thesis_, 2016.\n\n## Related projects\n\n- [MuseGAN](https://salu133445.github.io/musegan/)\n- [LeadSheetGAN](https://liuhaumin.github.io/LeadsheetArrangement/)","description_withheld":null,"homepage":"https://salu133445.github.io/lakh-pianoroll-dataset/","introduced_date":"2017-09-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/musegan-multi-track-sequential-generative","title":"MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment","first_author":"Hao-Wen Dong","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Music","url":"/datasets/modality/music"}],"tasks":[{"name":"Music Modeling","url":"/task/music-modeling","datasets_with_task":"/datasets/task/music-modeling"},{"name":"Music Generation","url":"/task/music-generation","datasets_with_task":"/datasets/task/music-generation"},{"name":"Music Information Retrieval","url":"/task/music-information-retrieval","datasets_with_task":"/datasets/task/music-information-retrieval"}],"languages":[],"variants":["Lakh Pianoroll Dataset"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}