Report Australia - Sydney life, train, monorail, planes 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 Aboriginal guys playing Didgeridoo music at Circular Quay, Sydney. HD footage, Aboriginal man playing Didjeridoo at Circular Quay
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 Aboriginal guys playing Didgeridoo music at Circular Quay, Sydney. HD footage, Aboriginal man playing Didjeridoo at Circular Quay
Clip 30s to 40s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video 1jptuEjuTig · row balanced_train:1jptuEjuTig:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video iDvva_WCo-I · row eval:iDvva_WCo-I:30:40
AudioSeteval
“The low quality recording features a live performance that consists of reverberant wooden percussion over an electro song, followed by crowd talking and public announcement vocals in the background. The song consists of groovy bass, haunting synth lead, soft "4 on the floor" kick pattern and shimmering shakers. It sounds like it was recorded somewhere outdoors, judging by the public announcement vocal and crowd noises.”
Clip 30s to 40s · Open clip on YouTube
youtube_video 1jptuEjuTig · row 1jptuEjuTig:30:40
MusicCaps
“The low quality recording features a didgeridoo melody played on top of shimmering shakers, plucked strings melody and low percussive hits. It sounds groovy, passionate and on an average ear, weird.”
Clip 30s to 40s · Open clip on YouTube
youtube_video iDvva_WCo-I · row iDvva_WCo-I: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 8c6d1da190e392fab8f49f8d0bc8a311cd7482838f504c41961f314abb2c69a9
| 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.