Report XLARGE 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 موسيقي حزينة / وادي الذئاب - الجزء الثامن - Music Sad \ Kurtlar Vadisi Pusu - Sezon 8, موسيقى مسلسل انتقام - المسار 1 - Music Series Intikam - Track 1, موسيقى مسلسل انتقام - المسار 2 - Music Series Intikam Track 2
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 Never Get It (feat. Henny K & ralph), New iCON, Diamond
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 موسيقي حزينة / وادي الذئاب - الجزء الثامن - Music Sad \ Kurtlar Vadisi Pusu - Sezon 8
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as OVER KILL, Jin Dogg, XLARGE – Never Get It (feat. Henny K & ralph) (Never Get It) · Watch on YouTube
youtube_video CtRAq3vcY-E · row CtRAq3vcY-E
LAION-DISCO-12M
Listed as Maddy Soma, XLARGE – New iCON (New iCON) · Watch on YouTube
youtube_video DnHLHZ23DpI · row DnHLHZ23DpI
LAION-DISCO-12M
Listed as eyden, DJ FRIP a.k.a Beatlab, XLARGE – Diamond (XLARGE × Chillaxing) · Watch on YouTube
youtube_video ZfWdBk2S4SU · row ZfWdBk2S4SU
LAION-DISCO-12M
Listed as Ryohu, XLARGE – Back in Town (Back in Town) · Watch on YouTube
youtube_video gHh9gbsHftI · row gHh9gbsHftI
LAION-DISCO-12M
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Sad music
youtube_video lnJdWXRgjKo · row balanced_train:lnJdWXRgjKo:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: New-age music, Music, Soundtrack music, Tender music
youtube_video -BkomV4AmwI · row unbalanced_train:-BkomV4AmwI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -eWOBB6Ylu4 · row unbalanced_train:-eWOBB6Ylu4:30:40
AudioSetunbalanced_train
“The song is an instrumental. The tempo is slow with a strong bass line, guitar accompaniment, violin accompaniment and Arabic horn instrument playing melancholic. The song is sad and tragic. The audio quality is poor.”
Clip 30s to 40s · Open clip on YouTube
youtube_video lnJdWXRgjKo · row lnJdWXRgjKo: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 b6f904658163b10e7472fb2c9d238bdf30cfb66c6e0bdec7561603636d99c3de
| 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.