Report higashinagasaki 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 ミッキーマウスマーチ・バグパイプ／ダンス, ジブリアニメ映画音楽メドレー/bagpipes, ディズニー曲／子ども祭りでバグパイプ隊
Clip 10s to 20s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument, Flute
youtube_video 4IFOyC7Udlo · row unbalanced_train:4IFOyC7Udlo:10:20
AudioSetunbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Bagpipes, Music, Musical instrument
youtube_video BYyEo2HdTDM · row unbalanced_train:BYyEo2HdTDM:60:70
AudioSetunbalanced_train
Clip 70s to 80s · Open clip on YouTube · Labels: Bagpipes, Music
youtube_video FK277HH-opw · row unbalanced_train:FK277HH-opw:70:80
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument
youtube_video GmLyuc20U3k · row unbalanced_train:GmLyuc20U3k:0:10
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Bagpipes, Music
youtube_video K-Pse90ZLEg · row unbalanced_train:K-Pse90ZLEg:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument
youtube_video L8Bxp8xqYKc · row unbalanced_train:L8Bxp8xqYKc:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Bagpipes, Music
youtube_video TkeKOHLOIPo · row unbalanced_train:TkeKOHLOIPo:0:10
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Bagpipes, Crowd, Music, Speech
youtube_video UvaB1-VClU0 · row unbalanced_train:UvaB1-VClU0:0:10
AudioSetunbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Bagpipes, Music
youtube_video bVtEkTHYUNs · row unbalanced_train:bVtEkTHYUNs:60:70
AudioSetunbalanced_train
Clip 80s to 90s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument
youtube_video cG8J3D3vIn4 · row unbalanced_train:cG8J3D3vIn4:80:90
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument
youtube_video cnu5YLBggtw · row unbalanced_train:cnu5YLBggtw:20:30
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Bagpipes, Wind instrument, woodwind instrument
youtube_video iIQIgpC5ofs · row unbalanced_train:iIQIgpC5ofs:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Bagpipes, Music
youtube_video pvVcc_WLnS8 · row unbalanced_train:pvVcc_WLnS8:0:10
AudioSetunbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: Bagpipes, Drum, Drum kit, Music, Musical instrument, Rock music
youtube_video qAbiYwwkm7U · row unbalanced_train:qAbiYwwkm7U:180:190
AudioSetunbalanced_train
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 c946225495bac34508429ce614f7d356c1c2cde7a80840e24e0082b5bbfe0313
| 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.