YouTrained

Report Phil Williams built from the datasets alone

Yes. Phil Williams has 13 videos listed in datasets used to train and test AI models.

This page only knows about the videos the datasets list. To check every upload on the channel:

Used for training and testing 13

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 Midnight on the Water - Vivian Williams, Vivian Willams Fiddle Contest Round 2007, Katy Hill - Jim Herd, fiddle

AudioSet 13 videos, 13 rows

Midnight on the Water - Vivian Williams

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video 3tXwQiXPfFg · row unbalanced_train:3tXwQiXPfFg:30:40

AudioSetunbalanced_train

What this means

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.

What you can do

3 routes. None is a guarantee.

Keep a copy

Download the evidence (PDF) JSON Check another name

Provenance

JSON export SHA-256 fb6a3eec442a821716c2d20845a90d5c77d6cf7d121d7e4712ac341ab0d740c4

Dataset versions indexed
DatasetFileRowsLoadedSHA-256
audiosetbalanced_train_segments.csv8,8362026-09-24T10:30:36+00:003b83e5ff9ed72cfd…
audioseteval_segments.csv7,8482026-09-24T10:30:36+00:00f7055f53935f70e7…
audiosetunbalanced_train_segments.csv1,063,3332026-09-24T10:30:43+00:00bb2dfd5e4f1ced39…
laion_disco_12mtrain-00000-of-00005.parquet2,464,1842026-09-24T12:18:19+00:00f8b1f0034f8f1e94…
laion_disco_12mtrain-00001-of-00005.parquet2,464,1832026-09-24T12:32:29+00:0071d78ad14ee3f85d…
laion_disco_12mtrain-00002-of-00005.parquet2,464,1832026-09-24T12:49:06+00:000feba570a0e8e73c…
laion_disco_12mtrain-00003-of-00005.parquet2,464,1832026-09-24T13:06:37+00:0021a77d99fd85ad2f…
laion_disco_12mtrain-00004-of-00005.parquet2,464,1832026-09-24T13:24:36+00:006ac5f59958b6b813…
musiccapsmusiccaps-public.csv5,5212026-09-24T10:29:42+00:008cc109ac507b5e5a…

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.