Report Toyota USA 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 2014 Corolla: AZIATIX - "Baby Let's Go" [OFFICIAL MUSIC VIDEO] | Toyota, 2013 Land Cruiser How-To: Adjusting Sound Qualities | Toyota, 2012 Prius v How-To: Adjusting Sound Qualities | Toyota
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 2014 Corolla: AZIATIX - "Baby Let's Go" [OFFICIAL MUSIC VIDEO] | Toyota
Clip 30s to 40s · Open clip on YouTube · Labels: Blues, Music, Pop music
youtube_video 7avMUhHOCR8 · row balanced_train:7avMUhHOCR8:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video -gXENYuaGtc · row unbalanced_train:-gXENYuaGtc:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video -tu6YXtO3fE · row unbalanced_train:-tu6YXtO3fE:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video 1LLojcifG_Y · row unbalanced_train:1LLojcifG_Y:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 3FjAHApBDbk · row unbalanced_train:3FjAHApBDbk:30:40
AudioSetunbalanced_train
Clip 22s to 32s · Open clip on YouTube · Labels: Music, Speech, Sound effect
youtube_video 49__d8fTEPQ · row unbalanced_train:49__d8fTEPQ:22:32
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 5x5Wz8a3xFE · row unbalanced_train:5x5Wz8a3xFE:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video 7ONVUTTFyaM · row unbalanced_train:7ONVUTTFyaM:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 9lJkoXaMjb4 · row unbalanced_train:9lJkoXaMjb4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video CCu6jtlaZ2Q · row unbalanced_train:CCu6jtlaZ2Q:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video DUVJQjv3zIM · row unbalanced_train:DUVJQjv3zIM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video DoAS-yZwPCw · row unbalanced_train:DoAS-yZwPCw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video ECNQFTBiz38 · row unbalanced_train:ECNQFTBiz38:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video EU8PMd-pwkg · row unbalanced_train:EU8PMd-pwkg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video FNxnlMJn2Qw · row unbalanced_train:FNxnlMJn2Qw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video FWOK5--jw4c · row unbalanced_train:FWOK5--jw4c:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video HDK3o1IXJNg · row unbalanced_train:HDK3o1IXJNg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video IRpj2AgWqJY · row unbalanced_train:IRpj2AgWqJY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video ISiQSqpbRG0 · row unbalanced_train:ISiQSqpbRG0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video JfoCzm91ZZs · row unbalanced_train:JfoCzm91ZZs:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video MOhOqhDJ3q8 · row unbalanced_train:MOhOqhDJ3q8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video Q-62dFOF9cI · row unbalanced_train:Q-62dFOF9cI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video Rs6OyEDW2Jk · row unbalanced_train:Rs6OyEDW2Jk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video SvgfeESrYrM · row unbalanced_train:SvgfeESrYrM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video V_NlSdhuQxk · row unbalanced_train:V_NlSdhuQxk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video YYjjs9LAv08 · row unbalanced_train:YYjjs9LAv08:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video fCHrlQPuqvo · row unbalanced_train:fCHrlQPuqvo:0:10
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech, Outside, urban or manmade
youtube_video fkiuqGsoBLk · row unbalanced_train:fkiuqGsoBLk:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video iOHJB2r2S60 · row unbalanced_train:iOHJB2r2S60:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video iUukQu7GoSo · row unbalanced_train:iUukQu7GoSo:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video nrlKzon2nO4 · row unbalanced_train:nrlKzon2nO4:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video skqhv-ihLVc · row unbalanced_train:skqhv-ihLVc:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video tvzAtS84caY · row unbalanced_train:tvzAtS84caY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video uQet4T41KXw · row unbalanced_train:uQet4T41KXw:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video vXO5tTG0gOA · row unbalanced_train:vXO5tTG0gOA:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video w6shtov1iy4 · row unbalanced_train:w6shtov1iy4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video xVbJnKNqvU8 · row unbalanced_train:xVbJnKNqvU8:30:40
AudioSetunbalanced_train
“A male vocalist sings this enthusiastic Electro Hop. The tempo is fast with synthesiser articulation, Dj mixer and digital drum beats. The song has emphatic, insistent vocals, punchy, youthful, buoyant, funky,strong,psychedelic, persuasive, groovy and untiring. This song is a contemporary Electronic HIp-Hop.”
Clip 30s to 40s · Open clip on YouTube
youtube_video 7avMUhHOCR8 · row 7avMUhHOCR8:30:40
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 b7998c8c88c1ab877d0877b85a5b82ce11d0a4f4789d2293544afc127d56867f
| 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.