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 seaK / Footloose (NG)
Report Kenshin built from the datasets alone
Yes. Kenshin 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 Mais, Drink More, D.A.N.C.E
Listed under the artist name 4 songs in LAION-DISCO-12M
Kenshin 2 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Mais
Listed as Beowülf, Kenshin – Mais (Mais) · Watch on YouTube
youtube_video 1X-X7YPflJA · row 1X-X7YPflJA
LAION-DISCO-12M
Drink More
Listed as Kenshin, Jord – Drink More (Drink More) · Watch on YouTube
youtube_video dw8esB1bHaQ · row dw8esB1bHaQ
LAION-DISCO-12M
Kenshin 1 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
D.A.N.C.E
Listed as Heiken, Kenshin – D.A.N.C.E (D.A.N.C.E) · Watch on YouTube
youtube_video 8MbaxABVkNY · row 8MbaxABVkNY
LAION-DISCO-12M
Kenshin 1 songs
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Lumpiang Shanghai
Listed as Lua$, KXLE, Kenshin – Lumpiang Shanghai (Lumpiang Shanghai) · Watch on YouTube
youtube_video _fW-FRvnM60 · row _fW-FRvnM60
LAION-DISCO-12M
AudioSet 1 videos, 1 rows
seaK / Footloose (NG)
Clip 130s to 140s · Open clip on YouTube · Labels: Vocal music, A capella
youtube_video dXZKsrvbY0M · row unbalanced_train:dXZKsrvbY0M:130:140
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 d546539a6b999c0735f30e7c06b40d0944f05993c418a2acd93d812c6070c62a
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.