Report Zee Bangla 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 Bibi Chowdhurani | Bangla Serial | Full Episode - 23 | Nibedita Biswas | Zee Bangla, Ep 329 | Raikishori - Zee Bangla Serial - Watch Full Series on Zee5 | Link in Description, Mirakkel Awesome Saala June 05 '12 - Muzaidur & Saidur
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 Bibi Chowdhurani | Bangla Serial | Full Episode - 23 | Nibedita Biswas | Zee Bangla
Clip 520s to 530s · Open clip on YouTube · Labels: Wind instrument, woodwind instrument, Shofar
youtube_video I6eU2qRjJ7Y · row balanced_train:I6eU2qRjJ7Y:520:530
AudioSetbalanced_train
Clip 150s to 160s · Open clip on YouTube · Labels: Music, Speech
youtube_video 2PpZ11vZQdA · row unbalanced_train:2PpZ11vZQdA:150:160
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Music, Speech, Inside, public space
youtube_video 2k8h7edAFPY · row unbalanced_train:2k8h7edAFPY:220:230
AudioSetunbalanced_train
Clip 240s to 250s · Open clip on YouTube · Labels: New-age music
youtube_video 2vANMv7lNvk · row unbalanced_train:2vANMv7lNvk:240:250
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Music, Eruption, Speech, Inside, small room
youtube_video 3HGmhQ6aSXk · row unbalanced_train:3HGmhQ6aSXk:220:230
AudioSetunbalanced_train
Clip 520s to 530s · Open clip on YouTube · Labels: Music, Frying (food), Inside, small room
youtube_video 4n7ne-sC-JM · row unbalanced_train:4n7ne-sC-JM:520:530
AudioSetunbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: Flute
youtube_video 5Ih33mMQIog · row unbalanced_train:5Ih33mMQIog:180:190
AudioSetunbalanced_train
Clip 380s to 390s · Open clip on YouTube · Labels: Music
youtube_video 5OiZuyZJv4c · row unbalanced_train:5OiZuyZJv4c:380:390
AudioSetunbalanced_train
Clip 400s to 410s · Open clip on YouTube · Labels: Music, Speech
youtube_video 5Puw9pOWveU · row unbalanced_train:5Puw9pOWveU:400:410
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Music, Scary music
youtube_video 6AxeT4yk8Ys · row unbalanced_train:6AxeT4yk8Ys:120:130
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music
youtube_video B00TqR7Anf0 · row unbalanced_train:B00TqR7Anf0:40:50
AudioSetunbalanced_train
Clip 160s to 170s · Open clip on YouTube · Labels: Music, Speech
youtube_video Biog9lfetaA · row unbalanced_train:Biog9lfetaA:160:170
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Music for children, Speech
youtube_video CAhEFgP4BGc · row unbalanced_train:CAhEFgP4BGc:30:40
AudioSetunbalanced_train
Clip 380s to 390s · Open clip on YouTube · Labels: Music
youtube_video DPFsjxGnZMA · row unbalanced_train:DPFsjxGnZMA:380:390
AudioSetunbalanced_train
Clip 80s to 90s · Open clip on YouTube · Labels: Music, Orchestra, Speech
youtube_video EqZZGBqGQSo · row unbalanced_train:EqZZGBqGQSo:80:90
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video FZYxtqsk9BE · row unbalanced_train:FZYxtqsk9BE:40:50
AudioSetunbalanced_train
Clip 140s to 150s · Open clip on YouTube · Labels: Music, Inside, small room
youtube_video FhSqKCZ77a0 · row unbalanced_train:FhSqKCZ77a0:140:150
AudioSetunbalanced_train
Clip 460s to 470s · Open clip on YouTube · Labels: Music, Speech
youtube_video LGXftv8HTj4 · row unbalanced_train:LGXftv8HTj4:460:470
AudioSetunbalanced_train
Clip 170s to 180s · Open clip on YouTube · Labels: Saxophone
youtube_video N2wK8awcOLA · row unbalanced_train:N2wK8awcOLA:170:180
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Music, Speech, Inside, large room or hall
youtube_video NPPS3_PZdgE · row unbalanced_train:NPPS3_PZdgE:20:30
AudioSetunbalanced_train
Clip 30s to 35s · Open clip on YouTube · Labels: Music, Speech
youtube_video NhxNcXgmNYQ · row unbalanced_train:NhxNcXgmNYQ:30:35
AudioSetunbalanced_train
Clip 150s to 160s · Open clip on YouTube · Labels: Music, Speech
youtube_video OScUTy8My0o · row unbalanced_train:OScUTy8My0o:150:160
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Music
youtube_video SEnEEEcGo0w · row unbalanced_train:SEnEEEcGo0w:20:30
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music, Violin, fiddle, Speech
youtube_video SU0PAXATgLY · row unbalanced_train:SU0PAXATgLY:280:290
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Marimba, xylophone, Glockenspiel, Mallet percussion
youtube_video VD5SdVniAIw · row unbalanced_train:VD5SdVniAIw:0:10
AudioSetunbalanced_train
Clip 570s to 580s · Open clip on YouTube · Labels: Music, Speech
youtube_video VYUmeDg6e1M · row unbalanced_train:VYUmeDg6e1M:570:580
AudioSetunbalanced_train
Clip 360s to 370s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video X6Z3PXMQctU · row unbalanced_train:X6Z3PXMQctU:360:370
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music
youtube_video XmLsYk3bhIM · row unbalanced_train:XmLsYk3bhIM:280:290
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech
youtube_video Z3tLUWVIRdg · row unbalanced_train:Z3tLUWVIRdg:0:10
AudioSetunbalanced_train
Clip 200s to 210s · Open clip on YouTube · Labels: Zither, Music, Speech
youtube_video ZGk0ebHkHGw · row unbalanced_train:ZGk0ebHkHGw:200:210
AudioSetunbalanced_train
Clip 190s to 200s · Open clip on YouTube · Labels: Music
youtube_video ZfkUX-EAnTY · row unbalanced_train:ZfkUX-EAnTY:190:200
AudioSetunbalanced_train
Clip 350s to 360s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video a-uY8SyeO7E · row unbalanced_train:a-uY8SyeO7E:350:360
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music, Speech
youtube_video aBLiyalyIXA · row unbalanced_train:aBLiyalyIXA:280:290
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Music, Jingle, tinkle, Speech, Inside, small room
youtube_video azUolLca21c · row unbalanced_train:azUolLca21c:120:130
AudioSetunbalanced_train
Clip 140s to 150s · Open clip on YouTube · Labels: Music, Speech
youtube_video cLFq9gHzAso · row unbalanced_train:cLFq9gHzAso:140:150
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video dWk7X3y7RjA · row unbalanced_train:dWk7X3y7RjA:30:40
AudioSetunbalanced_train
Clip 250s to 260s · Open clip on YouTube · Labels: Music, Marimba, xylophone, Vibraphone
youtube_video l94xjMx6rqM · row unbalanced_train:l94xjMx6rqM:250:260
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Bird vocalization, bird call, bird song, Music, Environmental noise, Chirp, tweet, Speech
youtube_video lAjF1bF-2f4 · row unbalanced_train:lAjF1bF-2f4:130:140
AudioSetunbalanced_train
Clip 100s to 110s · Open clip on YouTube · Labels: Ambient music
youtube_video lojp59Hl4WE · row unbalanced_train:lojp59Hl4WE:100:110
AudioSetunbalanced_train
Clip 100s to 110s · Open clip on YouTube · Labels: Music, Speech, Outside, rural or natural
youtube_video mgyq1OiXfBM · row unbalanced_train:mgyq1OiXfBM:100:110
AudioSetunbalanced_train
Clip 590s to 600s · Open clip on YouTube · Labels: Music, Speech
youtube_video oWCDJmn5Dnc · row unbalanced_train:oWCDJmn5Dnc:590:600
AudioSetunbalanced_train
Clip 550s to 560s · Open clip on YouTube · Labels: Music, Pour, Speech
youtube_video qdhmIbF2Csw · row unbalanced_train:qdhmIbF2Csw:550:560
AudioSetunbalanced_train
Clip 420s to 430s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video qpsPymJJcC4 · row unbalanced_train:qpsPymJJcC4:420:430
AudioSetunbalanced_train
Clip 210s to 220s · Open clip on YouTube · Labels: Music, Eruption, Speech
youtube_video rB_QnqNfSUY · row unbalanced_train:rB_QnqNfSUY:210:220
AudioSetunbalanced_train
Clip 260s to 270s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video rmJ5GjBa0EE · row unbalanced_train:rmJ5GjBa0EE:260:270
AudioSetunbalanced_train
Clip 190s to 200s · Open clip on YouTube · Labels: Sitar
youtube_video stYLvN-DvZU · row unbalanced_train:stYLvN-DvZU:190:200
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Timpani
youtube_video t3mfmzWo41M · row unbalanced_train:t3mfmzWo41M:20:30
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video tmsm3zm9dKQ · row unbalanced_train:tmsm3zm9dKQ:30:40
AudioSetunbalanced_train
Clip 190s to 200s · Open clip on YouTube · Labels: Music, Sitar
youtube_video u62_lasM0Fk · row unbalanced_train:u62_lasM0Fk:190:200
AudioSetunbalanced_train
Clip 270s to 280s · Open clip on YouTube · Labels: Music, Speech
youtube_video vkl5xyvQNco · row unbalanced_train:vkl5xyvQNco:270:280
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Music, Speech, Outside, urban or manmade
youtube_video w-RzAA8fznU · row unbalanced_train:w-RzAA8fznU:50:60
AudioSetunbalanced_train
Clip 90s to 100s · Open clip on YouTube · Labels: Pizzicato
youtube_video yYKAVm5PeE4 · row unbalanced_train:yYKAVm5PeE4:90:100
AudioSetunbalanced_train
Clip 90s to 100s · Open clip on YouTube · Labels: Music, Speech
youtube_video zDaFS23ytN0 · row unbalanced_train:zDaFS23ytN0:90:100
AudioSetunbalanced_train
“This music is instrumental. The tempo is medium with a dramatic, intense and suspenseful synthesiser arrangement, cymbal riff and conch shell sound. The music is a background score for a Bengali movie / TV series with a male voice giving instructions, a Hindu priest chanting Om with women joining in with the chant and vocalisations and the sound of the conch shell.”
Clip 520s to 530s · Open clip on YouTube
youtube_video I6eU2qRjJ7Y · row I6eU2qRjJ7Y:520:530
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 596689811311b375467f53dc2f9dc52448a6b2f8cb3744b8c8df02db98dae647
| 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.