Report George Tortorelli 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 Lisa Lynne & George Tortorelli - Windham Hill Live, Lisa Lynne and Celtic Zen
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 Oceans of Trees, Secret Worlds, Cloud 9
video in MusicCaps
A set of 5,521 ten-second music clips from YouTube, each with a written description, that Google published in 2023. It is the standard test set for text-to-music models.
Including Lisa Lynne & George Tortorelli - Windham Hill Live
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Lisa Lynne, George Tortorelli – Oceans of Trees (Light in the Wood) · Watch on YouTube
youtube_video 3kqotJiBnXs · row 3kqotJiBnXs
LAION-DISCO-12M
Listed as Lisa Lynne, George Tortorelli – Secret Worlds (Light in the Wood) · Watch on YouTube
youtube_video GlRWn__ovnA · row GlRWn__ovnA
LAION-DISCO-12M
Listed as David Arkenstone, George Tortorelli – Cloud 9 (Spa - Bliss: Music For Massage, Yoga, And Sensory Rejuvenation) · Watch on YouTube
youtube_video dWFhUr3rEiM · row dWFhUr3rEiM
LAION-DISCO-12M
Listed as Lisa Lynne, George Tortorelli – Grace (Light in the Wood) · Watch on YouTube
youtube_video dkjkGUYmpHM · row dkjkGUYmpHM
LAION-DISCO-12M
Listed as Lisa Lynne, George Tortorelli – Reach for the Sun (Light in the Wood) · Watch on YouTube
youtube_video nYmNDW4_6f8 · row nYmNDW4_6f8
LAION-DISCO-12M
Listed as Lisa Lynne, George Tortorelli – Wild Mountain Thyme (Light in the Wood) · Watch on YouTube
youtube_video nulE8lio3Y4 · row nulE8lio3Y4
LAION-DISCO-12M
Listed as Lisa Lynne, George Tortorelli – Shining Where You Stand (Light in the Wood) · Watch on YouTube
youtube_video pZpl91t8jUY · row pZpl91t8jUY
LAION-DISCO-12M
Clip 390s to 400s · Open clip on YouTube · Labels: Harp, Pizzicato
youtube_video PemDZNVE370 · row balanced_train:PemDZNVE370:390:400
AudioSetbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Traditional music, Guitar, Music, Musical instrument, Plucked string instrument
youtube_video TR68sDyZQd8 · row unbalanced_train:TR68sDyZQd8:60:70
AudioSetunbalanced_train
“The low quality recording features a live performance of softly arpeggiated harp melody and mellow sustained strings. It sounds passionate and emotional.”
Clip 390s to 400s · Open clip on YouTube
youtube_video PemDZNVE370 · row PemDZNVE370:390:400
MusicCaps
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 835b0e1e4402260c1c83e1397bb466010c3b9ceb83acc7f801b0723ea3524376
| 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.