Report Metal-Argento 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 Almafuerte -Pepsi Music 2005- Tu eres su seguridad, Almafuerte -Pepsi Music 2005- El Visitante, Logos -Pepsi Music 2007- Como relampago en la oscuridad
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 Almafuerte -Pepsi Music 2005- Tu eres su seguridad
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Exciting music
youtube_video Vo6eT8eMMfQ · row balanced_train:Vo6eT8eMMfQ:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video -1exchBfQ3g · row unbalanced_train:-1exchBfQ3g:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 2TYlwW-sR38 · row unbalanced_train:2TYlwW-sR38:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 34eENydAD3w · row unbalanced_train:34eENydAD3w:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Blues, Music, Pop music
youtube_video 40IFTAeMdOs · row unbalanced_train:40IFTAeMdOs:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 7RtV2FcdP3k · row unbalanced_train:7RtV2FcdP3k:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 8ErieHo51I4 · row unbalanced_train:8ErieHo51I4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video J9idRe_dKiU · row unbalanced_train:J9idRe_dKiU:30:40
AudioSetunbalanced_train
“The low quality recording features a live performance of a hard rock song that consists of punchy kick and snare hits, energetic cymbals, distorted bass guitar and aggressive electric guitar riffs. There are some crowd cheering sounds in the background. It sounds energetic, aggressive and the recording is noisy and in mono.”
Clip 30s to 40s · Open clip on YouTube
youtube_video Vo6eT8eMMfQ · row Vo6eT8eMMfQ: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 102865f9fc092bf19f044b17dde74f1765576266f63b42785a8e0f0d48121aaa
| 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.