Report MonsterRailroad 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 01.10.11 Phase I - Ripping up track, removing scenery and Backdrop on the Socal Desert HO Layout, 02.16.09 1 of 2 sound videos. I Built a multiple siren sound chip for the car accident scene, 02.05.11 Day 2 of the Amherst Train Show Part 2 SADLY THE END
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 01.10.11 Phase I - Ripping up track, removing scenery and Backdrop on the Socal Desert HO Layout
Clip 220s to 230s · Open clip on YouTube · Labels: Music, Dental drill, dentist's drill
youtube_video 4HfU5OQUqq0 · row eval:4HfU5OQUqq0:220:230
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 8ZLz7vW94KU · row unbalanced_train:8ZLz7vW94KU:30:40
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Music, Speech
youtube_video ad_RMKOMVn4 · row unbalanced_train:ad_RMKOMVn4:50:60
AudioSetunbalanced_train
“A male artist talks and makes drilling noises. The song is a modern hip hop song with male rap vocals, hip hop drumming rhythm, heavy bass drops and keyboard harmony. The track has ambient room noises and the music track is very faint. The audio quality is very average.”
Clip 220s to 230s · Open clip on YouTube
youtube_video 4HfU5OQUqq0 · row 4HfU5OQUqq0:220:230
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 99b8c83bd75b4a07333a1a8ffdb1fa35628ad11ba891e0589980728459ef1a7d
| 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.