Report FatLane 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 Safe Sane and Single - Comedy Tap (retro), Big Time - Tap, Yellow Hammer - Drum Group - Kumeyaay Powwow Dancers
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 Safe Sane and Single - Comedy Tap (retro)
Clip 30s to 40s · Open clip on YouTube · Labels: Singing, Music, Tap
youtube_video ZgooDijn2as · row eval:ZgooDijn2as:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tap
youtube_video ARkK-MVk2iI · row unbalanced_train:ARkK-MVk2iI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Drum, Drum kit, Music, Bass drum
youtube_video U2eyTC8215A · row unbalanced_train:U2eyTC8215A:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tap, Speech
youtube_video an9rS1etlZk · row unbalanced_train:an9rS1etlZk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video qLv6UKAuPsg · row unbalanced_train:qLv6UKAuPsg:30:40
AudioSetunbalanced_train
“A male vocalist sings this energetic song. The tempo is fast with accordion harmony, funky bass lines, vigorous drumming,rhythmic acoustic guitar and keyboard harmony. The audio is muffled making it difficult to hear the other elements in the song. This song is a live performance as there are sounds of clapping, cheering and people murmuring. This song is a vibrant,vivacious,bright, punchy, and energetic Pop.”
Clip 30s to 40s · Open clip on YouTube
youtube_video ZgooDijn2as · row ZgooDijn2as: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 a82e0ea9e3ed6286d0308ae64e293cb398d477389429ca06a71d3a4dc1b9aad3
| 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.