Report longzijun 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 Upbeat Jazz Intro Music for Videos (18 seconds, 4 different arrangements), Experimental Electronic Music (1984-1989): Excerpts from 5 Songs, Acoustic Guitar Background Music: Nikolaos Taramanidis: Wild Illusion (Free Background Music 27)
videos 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 Upbeat Jazz Intro Music for Videos (18 seconds, 4 different arrangements), Experimental Electronic Music (1984-1989): Excerpts from 5 Songs
Clip 30s to 40s · Open clip on YouTube · Labels: Jazz, Music, Pop music
youtube_video 3cEQfNZ_F1w · row balanced_train:3cEQfNZ_F1w:30:40
AudioSetbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Music, Theremin
youtube_video zPhuyMYy9EI · row eval:zPhuyMYy9EI:130:140
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Acoustic guitar, Music
youtube_video 1SB47tLQS4w · row unbalanced_train:1SB47tLQS4w:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Background music, Music
youtube_video 1mNw9iXZPXg · row unbalanced_train:1mNw9iXZPXg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Heavy metal, Music, Punk rock, Grunge
youtube_video C1Pjt86Z77Y · row unbalanced_train:C1Pjt86Z77Y:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video ETIcNYDGMk4 · row unbalanced_train:ETIcNYDGMk4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video eTCO6OehrrQ · row unbalanced_train:eTCO6OehrrQ:30:40
AudioSetunbalanced_train
“This is a jazzy instrumental that sounds upbeat, cheery and vibrant. This would be suitable for some swing dancing. It's got an electric guitarist playing licks, a punchy piano, and groovy intricate drum pattern. The piece is in four over four time signature.”
Clip 30s to 40s · Open clip on YouTube
youtube_video 3cEQfNZ_F1w · row 3cEQfNZ_F1w:30:40
MusicCaps
“A high pitched long note is playing along with other synthesizer pad sounds to create a bizarre and mildly creepy atmosphere. A synthesizer lead is playing a disharmonious melody. The sounds are full of reverb and delay. This song may be playing in an alien arrival movie scene.”
Clip 130s to 140s · Open clip on YouTube
youtube_video zPhuyMYy9EI · row zPhuyMYy9EI:130:140
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 a8ab2d21744e5b5f0dc3da4816cd8c8561d7836427b40838ad204e051483acde
| 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.