{"url":"/dataset/allmusic-mood-subset","name":"AllMusic Mood Subset","full_name":null,"description_markdown":"The AllMusic Mood Subset (AMS) is a dataset for mood classification from songs. It is created by matching a subset of the Million Song Dataset (MSD), totalling 67k tracks, with expert annotations of 188 different moods collected from AllMusic.\r\n\r\nSince the AMS is a subset of the MSD, the audio data is gathered by obtaining the 7-digital 30 second previews associated with all MSD tracks. These are 128kbps mp3 stereo\r\nfiles sampled at 44.1kHz.\r\n\r\nSource: [Mood Classification Using Listening Data](https://arxiv.org/abs/2010.11512)","description_withheld":null,"homepage":"https://github.com/fdlm/listening-moods","introduced_date":"2020-10-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/mood-classification-using-listening-data","title":"Mood Classification Using Listening Data","first_author":"Filip Korzeniowski","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["AllMusic Mood Subset"],"data_loaders":[{"repo":"https://github.com/fdlm/listening-moods","url":"https://github.com/fdlm/listening-moods","frameworks":["pytorch"]}],"num_papers_in_archive":1,"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."}