Report Juan Perez built from the datasets alone
This page only knows about the videos the datasets list. To check every upload on the channel:
videos 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 Play Doh Learning Colors for Babies & Toddlers Peppa Pig Color Lesson for Kids Colores, Many toys!! Mickey Mouse Clubhouse Peppa Pig House Play Doh Truck Plane Princess, Learning Colors for Babies & Toddlers Color Lesson for Kids Peppa Pig Play Doh Colores ingles
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 Il trovatore (The Troubador): Or co'dadi, ma fra poco, Il trovatore (The Troubador): Tacea la notte placida, Il trovatore (The Troubador): Miserere d'un'alma già vicina
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Nürnberg Symphony Orchestra, Eva Illes, Ruth Hesse, Juan Perez – Il trovatore (The Troubador): Or co'dadi, ma fra poco (Verdi: Il Trovatore (The Troubador), Opera Highlights [Digitally Remastered]) · Watch on YouTube
youtube_video SWZ45W0ti58 · row SWZ45W0ti58
LAION-DISCO-12M
Listed as Nürnberg Symphony Orchestra, Eva Illes, Ruth Hesse, Juan Perez – Il trovatore (The Troubador): Tacea la notte placida (Verdi: Il Trovatore (The Troubador), Opera Highlights [Digitally Remastered]) · Watch on YouTube
youtube_video z7OCgmtO2f4 · row z7OCgmtO2f4
LAION-DISCO-12M
Listed as Nürnberg Symphony Orchestra, Eva Illes, Ruth Hesse, Juan Perez – Il trovatore (The Troubador): Miserere d'un'alma già vicina (Verdi: Il Trovatore (The Troubador), Opera Highlights [Digitally Remastered]) · Watch on YouTube
youtube_video zhzzOnwfQ_w · row zhzzOnwfQ_w
LAION-DISCO-12M
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Nuremberg Symphony Orchestra, Hanspeter Gmür, Juan Perez, Eva Iles – Aida: ?Celeste Aida? (50 Summer Concert Classics: The Grand Mastery Of Opera) · Watch on YouTube
youtube_video iG-rGpQW1Sg · row iG-rGpQW1Sg
LAION-DISCO-12M
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 44ivX5XHeNM · row unbalanced_train:44ivX5XHeNM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video TrRf6Pn6Q3I · row unbalanced_train:TrRf6Pn6Q3I:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video wC3pMKSp-lo · row unbalanced_train:wC3pMKSp-lo: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 3246d246347bbc051b3e8884f302005a01aad611df5f6882da6d5c09a5411c1c
| 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.