Report ihearttheweakerthans 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 25!!! & 493 Ruth, by Bomb the Music Industry!, Beer (w/ Charlie Paulson) [HD], by Reel Big Fish (@ Slam Dunk, 2011), Superman [HD], by Goldfinger (@ Slam Dunk, 2011)
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 0DmoOKrm8aA · row unbalanced_train:0DmoOKrm8aA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 2E7tcDWDpzI · row unbalanced_train:2E7tcDWDpzI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 9T8IT9A0Um0 · row unbalanced_train:9T8IT9A0Um0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video CMYRfZxunxM · row unbalanced_train:CMYRfZxunxM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video EE60Y2Bt2kY · row unbalanced_train:EE60Y2Bt2kY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video FYgn-ldIl2A · row unbalanced_train:FYgn-ldIl2A:30:40
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Heavy metal, Music, Musical instrument, Rock music
youtube_video JFGV_40v9EQ · row unbalanced_train:JFGV_40v9EQ:40:50
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Sound effect
youtube_video MpTeeL51zAU · row unbalanced_train:MpTeeL51zAU:30:40
AudioSetunbalanced_train
Clip 170s to 180s · Open clip on YouTube · Labels: Music, Roll, Rock and roll
youtube_video PReBGZpXG18 · row unbalanced_train:PReBGZpXG18:170:180
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Orchestra
youtube_video PVBQ3QTippg · row unbalanced_train:PVBQ3QTippg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video b8Ch-XyUXa0 · row unbalanced_train:b8Ch-XyUXa0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video mJptP1nGvTY · row unbalanced_train:mJptP1nGvTY:30:40
AudioSetunbalanced_train
Clip 10s to 20s · Open clip on YouTube · Labels: Crowd, Music, Rock music, Rock and roll
youtube_video rZdrXb-eG-4 · row unbalanced_train:rZdrXb-eG-4:10:20
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video wbXMF3Vu6qA · row unbalanced_train:wbXMF3Vu6qA:30:40
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 cc5031f395fd25f3a302495559d64c81413a519daeea10ac3af94b183489fc18
| 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.