Report Cubic Frog® Apps 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 Learn to Count Numbers with the Counting Song by Cubic Frog® Apps!, Make Popsicles with iMake Ice Pops by Cubic Frog® Apps!, Make Giant Gummy Candy with iMake Giant Gummies by Cubic Frog® Apps!
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 Learn to Count Numbers with the Counting Song by Cubic Frog® Apps!
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Music for children, Ding, Speech, Boing
youtube_video YtYjdkTK5oY · row balanced_train:YtYjdkTK5oY:0:10
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video HCrQdKNkNfs · row unbalanced_train:HCrQdKNkNfs:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Music for children
youtube_video W2lgBYNS5po · row unbalanced_train:W2lgBYNS5po:30:40
AudioSetunbalanced_train
“The low quality recording features a synth melody and a lot of synth sound effects, over which there is a funny boy vocal talking. The synth melody continues to play in the second part of the loop where shimmering bells, snaps layered with snappy rimshots and harmonizing kids' vocals singing over them, appear. It sounds happy, joyful and fun - like something kids would listen to.”
Clip 0s to 10s · Open clip on YouTube
youtube_video YtYjdkTK5oY · row YtYjdkTK5oY:0:10
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 740d9f7167bc179730cdde26b7ea78a4a7e25bfba04e3d6320a871ef1326dc67
| 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.