Report Traditional Music Digital Library 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 Japanese Fue / Inakabue and orabue - Traditional Music Digital Library -, Traditional Music Digital Library 'fue', Japanese Shakuhachi / Shika no Tōne - Traditional Music Digital Library -
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 Japanese Fue / Inakabue and orabue - Traditional Music Digital Library -
Clip 50s to 60s · Open clip on YouTube · Labels: Wind instrument, woodwind instrument, Flute
youtube_video 0u5-WiBKam8 · row balanced_train:0u5-WiBKam8:50:60
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 2wAe0jpfki4 · row unbalanced_train:2wAe0jpfki4:30:40
AudioSetunbalanced_train
Clip 10s to 20s · Open clip on YouTube · Labels: Music, Musical instrument, Wind instrument, woodwind instrument, Flute
youtube_video 5aHFR2A5lm4 · row unbalanced_train:5aHFR2A5lm4:10:20
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music, Musical instrument, Wind instrument, woodwind instrument, Flute
youtube_video 65dAdVOY9SM · row unbalanced_train:65dAdVOY9SM:40:50
AudioSetunbalanced_train
Clip 230s to 240s · Open clip on YouTube · Labels: Wind instrument, woodwind instrument
youtube_video ehvq4Shl2_A · row unbalanced_train:ehvq4Shl2_A:230:240
AudioSetunbalanced_train
“The low quality recording features a reverberant breathy flute melody with an inhale sound in-between. It sounds mystical, passionate and emotional.”
Clip 50s to 60s · Open clip on YouTube
youtube_video 0u5-WiBKam8 · row 0u5-WiBKam8:50:60
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 d35e7f79458f7ea8706a7dcead4f549e50baee4bf9b2671ddbf14ec4a1bcd9e0
| 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.