Report Massimo Bertoldo 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 traktor scratch pro 2 ...practice session dubstep, Stardustfresher dubstep mix 2/2 jul2009 with m-audio torq 1.5 and triggerfinger, Stardustfresher dubstep mix 1/2 jul2009 with m-audio torq 1.5 and triggerfinger
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 traktor scratch pro 2 ...practice session dubstep
Clip 30s to 40s · Open clip on YouTube · Labels: Scratching (performance technique), Music, Scratch, Drum machine
youtube_video cWOohqFud6g · row eval:cWOohqFud6g:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Electronic music, Music
youtube_video 2CuSIq4nCBQ · row unbalanced_train:2CuSIq4nCBQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Electronic music, Music, Dubstep
youtube_video _niWoS1OwDQ · row unbalanced_train:_niWoS1OwDQ:30:40
AudioSetunbalanced_train
“The low quality recording features a DJ scratching a vinyl of a jungle song that consists of punchy kick and snare hits layered with energetic crash cymbal and groovy bass. The song sounds thin as it is probably playing on a speaker. The recording itself is noisy and in mono. It sounds energetic and aggressive overall.”
Clip 30s to 40s · Open clip on YouTube
youtube_video cWOohqFud6g · row cWOohqFud6g:30:40
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 be344d7102c2d03b1791dcc7653ca5ae5f34f2541bf2b119d6dc283076a0868a
| 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.