Report Brian Keith built from the datasets alone
This page only knows about the videos the datasets list. To check every upload on the channel:
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 Sigh No More Ladies 1993 TMEA All-State Choir Mixed
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 The Arrest, This Jesus Must Die (Scat Vocals 1), You Never Told Me Love Hurts
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Victor Brox, Paul Davis, Ian Gillan, Brian Keith – The Arrest (Jesus Christ Superstar (2012 Digitally Re-Mastered Edition)) · Watch on YouTube
youtube_video Hu1d7aDlYlw · row Hu1d7aDlYlw
LAION-DISCO-12M
Listed as Brian Keith, Victor Brox, Andrew Lloyd Webber, Tim Rice – This Jesus Must Die (Scat Vocals 1) (Jesus Christ Superstar (50th Anniversary) [Deluxe]) · Watch on YouTube
youtube_video Ze5En5MvXJc · row Ze5En5MvXJc
LAION-DISCO-12M
Listed as Brian Keith – You Never Told Me Love Hurts (You Never Told Me Love Hurts) · Watch on YouTube
youtube_video hdJwtwBCiG8 · row hdJwtwBCiG8
LAION-DISCO-12M
Listed as Brian Keith, Victor Brox, Andrew Lloyd Webber, Tim Rice – This Jesus Must Die (Jesus Christ Superstar (2012 Digitally Re-Mastered Edition)) · Watch on YouTube
youtube_video pF7AOKQWMqM · row pF7AOKQWMqM
LAION-DISCO-12M
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Victor Brox, Brian Keith – This Jesus Must Die (From "Jesus Christ Superstar") (Best Screen Songs) · Watch on YouTube
youtube_video TufJZ4snUDs · row TufJZ4snUDs
LAION-DISCO-12M
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Choir
youtube_video 6kkbH70ROZM · row unbalanced_train:6kkbH70ROZM:30:40
AudioSetunbalanced_train
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.
3 routes. None is a guarantee.
JSON export SHA-256 296912b5f008f420c491d2b6a85e13ea46bf883d8662bd1e8e0d6ff7ce3bb90d
| 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.