Report DaneTheConquerer 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 Alan Silvestri - Predator - Soundtrack Music Suite 1987, Jerry Goldsmith - Islands in the Stream - Soundtrack Music Suite, Jerry Goldsmith - Masada - Soundtrack Music Suite 1981
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 Alan Silvestri - Predator - Soundtrack Music Suite 1987
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Angry music
youtube_video -eDAoheZrY8 · row eval:-eDAoheZrY8:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 0pnRldtDRHg · row unbalanced_train:0pnRldtDRHg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 3YT9ELFqp04 · row unbalanced_train:3YT9ELFqp04:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 5S2Ikqeo4CM · row unbalanced_train:5S2Ikqeo4CM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 6C8ZXZBuNRI · row unbalanced_train:6C8ZXZBuNRI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Violin, fiddle, Bowed string instrument
youtube_video FJPBy1ugwpw · row unbalanced_train:FJPBy1ugwpw:30:40
AudioSetunbalanced_train
Clip 160s to 170s · Open clip on YouTube · Labels: Music
youtube_video S9RcTpH4z5Q · row unbalanced_train:S9RcTpH4z5Q:160:170
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video WjOqxCQE3_M · row unbalanced_train:WjOqxCQE3_M:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video dCwWzqQE2UE · row unbalanced_train:dCwWzqQE2UE:30:40
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Ambient music
youtube_video hTOq16Uj-20 · row unbalanced_train:hTOq16Uj-20:120:130
AudioSetunbalanced_train
Clip 300s to 310s · Open clip on YouTube · Labels: Music
youtube_video jg82Zzz_zFQ · row unbalanced_train:jg82Zzz_zFQ:300:310
AudioSetunbalanced_train
Clip 170s to 180s · Open clip on YouTube · Labels: Music
youtube_video kAhn6wkBwew · row unbalanced_train:kAhn6wkBwew:170:180
AudioSetunbalanced_train
“The song is an instrumental. The song is slow tempo with building crescendo , string section harmony, horn section, drums playing steadily and piano accompaniment. The song is suspenseful and builds anticipation. The song is a movie soundtrack and has an average audio quality.”
Clip 30s to 40s · Open clip on YouTube
youtube_video -eDAoheZrY8 · row -eDAoheZrY8:30:40
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 8bf178050d00b7b854c5630447ec4627f5e6a1035d892a78e52ca5501a37ba26
| 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.