Report Chicago's Best 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 Chicago's Best Corner Spots: Stanley's Kitchen & Tap, Chicago’s Best Chicken: Dove’s Luncheonette, Chicago’s Best Turkey Leg: Thom’s Turkey & Bar-B-Cue
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 0obcKLihIiI · row unbalanced_train:0obcKLihIiI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 1M3k_EH-Mlc · row unbalanced_train:1M3k_EH-Mlc:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 2cJHRLT0gpg · row unbalanced_train:2cJHRLT0gpg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 3GwShCQKdG0 · row unbalanced_train:3GwShCQKdG0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 4TWR3sUmtEo · row unbalanced_train:4TWR3sUmtEo:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 4f55gB8lD_c · row unbalanced_train:4f55gB8lD_c:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 5lr-jHm_3Ow · row unbalanced_train:5lr-jHm_3Ow:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 7GvSmjPaVoY · row unbalanced_train:7GvSmjPaVoY:30:40
AudioSetunbalanced_train
Clip 22s to 32s · Open clip on YouTube · Labels: Music, Speech
youtube_video 8ZuTOOyKLsc · row unbalanced_train:8ZuTOOyKLsc:22:32
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video AK2FXvlC0gQ · row unbalanced_train:AK2FXvlC0gQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video ChveoflWMk4 · row unbalanced_train:ChveoflWMk4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video EebYMqShGC4 · row unbalanced_train:EebYMqShGC4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video GzVZirSUciA · row unbalanced_train:GzVZirSUciA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video H6tOQl2YeHs · row unbalanced_train:H6tOQl2YeHs:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video HqcdRQp9-r0 · row unbalanced_train:HqcdRQp9-r0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video Iu2RVzml0dA · row unbalanced_train:Iu2RVzml0dA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video L2nYOLeOUB4 · row unbalanced_train:L2nYOLeOUB4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video LO2VAo5oW3c · row unbalanced_train:LO2VAo5oW3c:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video MMnn3krEE8A · row unbalanced_train:MMnn3krEE8A:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video NBtI4sWUXR8 · row unbalanced_train:NBtI4sWUXR8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video NugB3hWznGw · row unbalanced_train:NugB3hWznGw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video OD4phf4bSbw · row unbalanced_train:OD4phf4bSbw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video OgHFdFT5JBU · row unbalanced_train:OgHFdFT5JBU:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video QFfWxe-x-r0 · row unbalanced_train:QFfWxe-x-r0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video RJNWb-oI-g0 · row unbalanced_train:RJNWb-oI-g0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video TVwKv3gQVVk · row unbalanced_train:TVwKv3gQVVk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video UkaMfmKKayM · row unbalanced_train:UkaMfmKKayM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video YPe_quuietg · row unbalanced_train:YPe_quuietg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video ZX95QdScm_I · row unbalanced_train:ZX95QdScm_I:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video blAXfBAh78Q · row unbalanced_train:blAXfBAh78Q:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video cplIn6Ced-M · row unbalanced_train:cplIn6Ced-M:30:40
AudioSetunbalanced_train
Clip 140s to 150s · Open clip on YouTube · Labels: Music, Speech
youtube_video dRn7HwSbOXc · row unbalanced_train:dRn7HwSbOXc:140:150
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video fBW3SPkxOQ8 · row unbalanced_train:fBW3SPkxOQ8:30:40
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Blender, Music, Speech, Inside, small room
youtube_video jJxnZt25lvU · row unbalanced_train:jJxnZt25lvU:120:130
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video lDlOdUHpaQ4 · row unbalanced_train:lDlOdUHpaQ4:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Drum, Drum kit, Hi-hat, Snare drum
youtube_video lgO6R0MwDdw · row unbalanced_train:lgO6R0MwDdw:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video mCymffXEKrc · row unbalanced_train:mCymffXEKrc:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video mv1UNw-7E94 · row unbalanced_train:mv1UNw-7E94:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video rGDUPC1JDiA · row unbalanced_train:rGDUPC1JDiA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video xQs1FRSdbD0 · row unbalanced_train:xQs1FRSdbD0:30:40
AudioSetunbalanced_train
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 320720aaa2fccc5aca3f3b232eaad365f4dca717ae634c41195738270710ce86
| 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.