M6

dataset·machine generated music detection·active

Multi-generator, multi-domain, multilingual, multicultural, multi-genre and multi-instrument music-detection databases.

Verified facts

Official site	https://huggingface.co/datasets/yl7622/M6 ↗
Geography	Global
doi	10.1038/s41598-026-36044-w
arxiv	2412.06001
huggingface repository	yl7622/M6
size	categories: 6 · exact total: see official release
scope	Benchmarking detection of machine-generated music across multiple domains.
genres	multiple
steward	M6 authors
creators	Yupei Li; Hanqian Li; Lucia Specia; Björn W. Schuller
languages	multilingual
modalities	WAV music; human/AI labels; generator/domain/language/genre/instrument groupings
geographies	Global
access method	Hugging Face dataset repository.
intended uses	machine-generated music detection; authorship classification
related papers	M6: multi-generator, multi-domain, multi-lingual and cultural, multi-genres, multi-instrument machine-generated music detection databases
annotation method	Source/generator categories define human-versus-machine labels; baseline splits provided.
collection method	Human and generated music selected across six categories and multiple generators.
provenance claims	Paper describes multi-source collection; Hugging Face hosts the released data.
current availability	Repository linked from 2026 journal article.
us market scope basis	Publicly available or materially used in US-facing music/audio-AI research.
limitations biases disputes	Detector benchmarks can overfit generator artifacts.; Human and AI source rights vary by category.
related models tools benchmarks	FMA; FakeMusicCaps