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 A Nightmare On Dee's Street
Report Craig 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 A Nightmare On Dee's Street
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 Showtime, Showtime (Craig London Remix), Showtime (Merc Remix)
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Corbishley, Curtis, Craig – Showtime (Showtime) · Watch on YouTube
youtube_video 2UyNNJxQnk0 · row 2UyNNJxQnk0
LAION-DISCO-12M
Listed as Corbishley, Curtis, Craig – Showtime (Craig London Remix) (Showtime) · Watch on YouTube
youtube_video HI1fG6lQ4gE · row HI1fG6lQ4gE
LAION-DISCO-12M
Listed as Corbishley, Curtis, Craig – Showtime (Merc Remix) (Showtime) · Watch on YouTube
youtube_video Mbkin8B75Cc · row Mbkin8B75Cc
LAION-DISCO-12M
Listed as Corbishley, Curtis, Craig – Showtime (Luka One Remix) (Showtime) · Watch on YouTube
youtube_video fgCnwGfuABI · row fgCnwGfuABI
LAION-DISCO-12M
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Curtis & Craig, Craig – X-One (Mnbt Radio Cut) (Trance Planet - Episode Two) · Watch on YouTube
youtube_video YmtYZWujiNY · row YmtYZWujiNY
LAION-DISCO-12M
Clip 50s to 60s · Open clip on YouTube · Labels: Heavy metal, Music, Speech
youtube_video R0-ykNEEsDM · row unbalanced_train:R0-ykNEEsDM:50:60
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 8db8e5cb606ffae74916f227c6ecd1b3f7f012efc1cbcb0612e4407f43d186b7
| 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.