video in AudioSet
A list of about a million ten-second YouTube clips, each labelled with the sounds in it, that Google published in 2017. Labs use it to train and test general audio and music models.
Including Lhasa Apso growls!
Report Matt E built from the datasets alone
Yes. Matt E has 4 songs and 1 video listed in datasets used to train and test AI music models.
This page only knows about the videos the datasets list. To check every upload on the channel:
songs in LAION-DISCO-12M under the artist name
A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.
Including Too Good To Be True (feat. Monika Santucci), Take Me, Bad Day
Listed under the artist name 4 songs in LAION-DISCO-12M
Matte 2 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Too Good To Be True (feat. Monika Santucci)
Listed as MVSE, Matte – Too Good To Be True (feat. Monika Santucci) (Too Good To Be True) · Watch on YouTube
youtube_video -d2EaCmFoiY · row -d2EaCmFoiY
LAION-DISCO-12M
Take Me
Listed as William Black, Matte, RUNN – Take Me (Take Me) · Watch on YouTube
youtube_video isv_NDsw-M0 · row isv_NDsw-M0
LAION-DISCO-12M
Matte 1 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Bad Day
Listed as Matte, Marc E Bassy – Bad Day (Bad Day) · Watch on YouTube
youtube_video 370ILk4-kag · row 370ILk4-kag
LAION-DISCO-12M
Matte 1 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Take Me (Snavs Remix) (feat. RUNN)
Listed as William Black, Matte – Take Me (Snavs Remix) (feat. RUNN) (Take Me Snavs Remix) · Watch on YouTube
youtube_video vyrqj9Y1WH8 · row vyrqj9Y1WH8
LAION-DISCO-12M
AudioSet 1 videos, 1 rows
Lhasa Apso growls!
Clip 10s to 20s · Open clip on YouTube · Labels: Music, Bark, Domestic animals, pets, Bow-wow, Speech, Dog, Animal
youtube_video t1hG4mAt1Ic · row unbalanced_train:t1hG4mAt1Ic:10:20
AudioSetunbalanced_train
What this means
Last reviewed 2026-09-24.
Presence in a public research dataset shows that a clip of your recording was listed by academic or industry researchers as material for building or testing audio models. It does not by itself show which commercial products, if any, used the clip. The legal picture is moving. On 31 July 2026 the Regional Court of Munich I ruled in GEMA's case against Suno (case 42 O 763/25) that reproducing works for training, holding them in a model in retrievable form, and generating similar outputs can each infringe copyright under German and EU law; the judgment is not final and can be appealed. In the United States, Warner Music Group settled its claims against Suno on 25 November 2025 with a licensing deal, while the parallel claims by Universal and Sony were still pending at that point. Since then BMG (12 August 2026) and Believe/TuneCore (8 September 2026) have signed opt-in licensing deals with Suno.
- DLA Piper: Creation of music with generative AI may be copyright infringement (GEMA v Suno, LG München I, 42 O 763/25), 2026-08-28
- Music Business Worldwide: Warner Music Group settles with Suno, strikes first-of-its-kind deal, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08
What you can do
3 routes. None is a guarantee.
- UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
Keep a copy
Provenance
JSON export SHA-256 b2801ceb6c7527c130dfa97826409d6dadcb79cfdcde949e2301e3836ebd0b66
Dataset versions indexed
| Dataset | File | Rows | Loaded | SHA-256 |
|---|---|---|---|---|
| audioset | balanced_train_segments.csv | 8,836 | 2026-09-24T10:30:36+00:00 | 3b83e5ff9ed72cfd… |
| audioset | eval_segments.csv | 7,848 | 2026-09-24T10:30:36+00:00 | f7055f53935f70e7… |
| audioset | unbalanced_train_segments.csv | 1,063,333 | 2026-09-24T10:30:43+00:00 | bb2dfd5e4f1ced39… |
| laion_disco_12m | train-00000-of-00005.parquet | 2,464,184 | 2026-09-24T12:18:19+00:00 | f8b1f0034f8f1e94… |
| laion_disco_12m | train-00001-of-00005.parquet | 2,464,183 | 2026-09-24T12:32:29+00:00 | 71d78ad14ee3f85d… |
| laion_disco_12m | train-00002-of-00005.parquet | 2,464,183 | 2026-09-24T12:49:06+00:00 | 0feba570a0e8e73c… |
| laion_disco_12m | train-00003-of-00005.parquet | 2,464,183 | 2026-09-24T13:06:37+00:00 | 21a77d99fd85ad2f… |
| laion_disco_12m | train-00004-of-00005.parquet | 2,464,183 | 2026-09-24T13:24:36+00:00 | 6ac5f59958b6b813… |
| musiccaps | musiccaps-public.csv | 5,521 | 2026-09-24T10:29:42+00:00 | 8cc109ac507b5e5a… |
These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material. This report is informational and is not legal advice. It shows that identifiers matching your work are present in the named public research datasets; it does not establish how any particular company used them. If you are the subject of this page and want it removed, see removals.