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 Techno sneeze!!!!
Report Daniel Hyde built from the datasets alone
Yes. Daniel Hyde has 11 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 All Bells in Paradise, All the Stars Looked Down, King of glory, King of peace
Listed under the artist name 11 songs in LAION-DISCO-12M
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
All Bells in Paradise
Listed as Daniel Hyde, Choir of King's College, Cambridge, Britten Sinfonia – All Bells in Paradise (Rutter: Orchestral Carols) · Watch on YouTube
youtube_video 4MRRxNp_Uus · row 4MRRxNp_Uus
LAION-DISCO-12M
All the Stars Looked Down
Listed as Daniel Hyde, Choir of King's College, Cambridge, Britten Sinfonia – All the Stars Looked Down (Rutter: Orchestral Carols) · Watch on YouTube
youtube_video 5S1IG0S6Z-A · row 5S1IG0S6Z-A
LAION-DISCO-12M
King of glory, King of peace
Listed as Choir of King's College, Cambridge, Daniel Hyde, Matthew Martin – King of glory, King of peace (Now the Green Blade Riseth: Choral Music for Easter) · Watch on YouTube
youtube_video SFyJe2pEoCM · row SFyJe2pEoCM
LAION-DISCO-12M
Sans Day Carol (Arr. John Rutter)
Listed as Daniel Hyde, Choir of King's College, Cambridge, Britten Sinfonia – Sans Day Carol (Arr. John Rutter) (Rutter: Orchestral Carols) · Watch on YouTube
youtube_video TKIKE6qslI4 · row TKIKE6qslI4
LAION-DISCO-12M
Visions: III. Lament for Jerusalem
Listed as Daniel Hyde, Hannah Perowne, Choir of King's College, Cambridge, Britten Sinfonia – Visions: III. Lament for Jerusalem (John Rutter: Visions) · Watch on YouTube
youtube_video _vABs_r60xo · row _vABs_r60xo
LAION-DISCO-12M
Visions: I. Processional and Prelude: Jerusalem the blessed
Listed as Daniel Hyde, Hannah Perowne, Choir of King's College, Cambridge, Britten Sinfonia – Visions: I. Processional and Prelude: Jerusalem the blessed (John Rutter: Visions) · Watch on YouTube
youtube_video aEOYWzp1pJE · row aEOYWzp1pJE
LAION-DISCO-12M
Visions: IV. Finale. The Holy City
Listed as Daniel Hyde, Hannah Perowne, Choir of King's College, Cambridge, Britten Sinfonia – Visions: IV. Finale. The Holy City (John Rutter: Visions) · Watch on YouTube
youtube_video aznN5B84_Fc · row aznN5B84_Fc
LAION-DISCO-12M
Crucifixus à 6
Listed as Choir of King's College, Cambridge, Daniel Hyde, Matthew Martin – Crucifixus à 6 (Now the Green Blade Riseth: Choral Music for Easter) · Watch on YouTube
youtube_video gpthzI-c-SE · row gpthzI-c-SE
LAION-DISCO-12M
Blake's Lullaby
Listed as Daniel Hyde, Choir of King's College, Cambridge, Britten Sinfonia – Blake's Lullaby (Rutter: Orchestral Carols) · Watch on YouTube
youtube_video h16EEOmig3I · row h16EEOmig3I
LAION-DISCO-12M
Visions: III. Lament for Jerusalem (Instrumental Version)
Listed as Daniel Hyde, Hannah Perowne, Britten Sinfonia – Visions: III. Lament for Jerusalem (Instrumental Version) (John Rutter: Visions, III. Lament for Jerusalem (Instrumental Version)) · Watch on YouTube
youtube_video jduebVF_eJU · row jduebVF_eJU
LAION-DISCO-12M
Visions: II. Arise, shine
Listed as Daniel Hyde, Hannah Perowne, Choir of King's College, Cambridge, Britten Sinfonia – Visions: II. Arise, shine (John Rutter: Visions) · Watch on YouTube
youtube_video sRHO02PSQ_I · row sRHO02PSQ_I
LAION-DISCO-12M
AudioSet 1 videos, 1 rows
Techno sneeze!!!!
Clip 30s to 40s · Open clip on YouTube · Labels: Electronic music, Music, Techno
youtube_video UQ_tkdBctIc · row unbalanced_train:UQ_tkdBctIc:30:40
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 d5f94fc4f855559f020ff107ea334fff1a272a2f0cbf965549641cb1c982c920
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.