Report makrochai 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 รถบัส&เพลงแดนซ์ แอบจิตMIX(นฤมิตร)VOL.4, เพลงแดนซ์ของรถบัส โซนอีสาน Dj อ๊อฟ Mix, รถบัสและเพลงแดนซ์ ดีเจอ๊อฟ แอบจิต Mix
videos 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 รถบัส&เพลงแดนซ์ แอบจิตMIX(นฤมิตร)VOL.4, เพลงแดนซ์ของรถบัส โซนอีสาน Dj อ๊อฟ Mix
Clip 350s to 360s · Open clip on YouTube · Labels: Electronic music, Music, Electronic dance music, Dance music
youtube_video OEjgIDubFbg · row eval:OEjgIDubFbg:350:360
AudioSeteval
Clip 390s to 400s · Open clip on YouTube · Labels: Electronic music, Music, Electronic dance music, Dance music
youtube_video Y8ULUSXWTcY · row eval:Y8ULUSXWTcY:390:400
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Jingle (music), Music, Speech, Dance music
youtube_video YyAA2sORsHI · row eval:YyAA2sORsHI:30:40
AudioSeteval
Clip 330s to 340s · Open clip on YouTube · Labels: Electronic music, Music, Electronic dance music, Speech
youtube_video C_lChE3ifNM · row unbalanced_train:C_lChE3ifNM:330:340
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video cHyUuE0TzDw · row unbalanced_train:cHyUuE0TzDw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video m5mwD8EVHeo · row unbalanced_train:m5mwD8EVHeo:30:40
AudioSetunbalanced_train
“A female singer sang this pop melody with female backup singers in vocal harmony. The song is fast tempo with various percussion instruments, but with a steady drumming rhythm, percussive bass line, guitar rhythm and keyboard accompaniment . The song is youthful and a party dance song. The song's audio quality is poor.”
Clip 350s to 360s · Open clip on YouTube
youtube_video OEjgIDubFbg · row OEjgIDubFbg:350:360
MusicCaps
“This is an electronic music piece. The female vocalist is singing in a rap-like repetitive manner and is occasionally joined by a male vocalist. There is a repeating one-note hollering female vocal sample in the background. A keyboard plays a simple tune. There is a loud electronic drum beat in the rhythmic background. The atmosphere is energetic and danceable. This piece can be played in nightclubs and bars in Thailand. It could also be used in dancing courses as an accompaniment piece.”
Clip 390s to 400s · Open clip on YouTube
youtube_video Y8ULUSXWTcY · row Y8ULUSXWTcY:390:400
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 ee44bfc4a67bc728815ff0dcf48b9719d87ef0710acd447e33c95bd17f283f36
| 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.