Report Eritrean News by Eri-TV Live Television 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 Eritrean comedy - Mezengih Camera - 5 January 2014, Eritrean kids music by Redwan Mehari - Lebime - Eri-TV, ኤርትራ Eritrean comedy - Hidden Camera - 17 August 2014 - Eri-TV
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -TGlpa7d1EY · row unbalanced_train:-TGlpa7d1EY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -VdG1VKoxNk · row unbalanced_train:-VdG1VKoxNk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 0bruwoMAzqE · row unbalanced_train:0bruwoMAzqE:30:40
AudioSetunbalanced_train
Clip 14s to 24s · Open clip on YouTube · Labels: Music, Speech
youtube_video 1q6L6W8ekQs · row unbalanced_train:1q6L6W8ekQs:14:24
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 26lVuxE_OKc · row unbalanced_train:26lVuxE_OKc:30:40
AudioSetunbalanced_train
Clip 360s to 370s · Open clip on YouTube · Labels: Pizzicato
youtube_video 2J4d_ie85Oc · row unbalanced_train:2J4d_ie85Oc:360:370
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 3j6WOgkGJms · row unbalanced_train:3j6WOgkGJms:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 4_4EyAArBvg · row unbalanced_train:4_4EyAArBvg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Exciting music
youtube_video 4eA1zMlIDQ0 · row unbalanced_train:4eA1zMlIDQ0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 7C0_LwyhRPA · row unbalanced_train:7C0_LwyhRPA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Bow-wow
youtube_video 7L1XpYRlyN0 · row unbalanced_train:7L1XpYRlyN0:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 8l2ua9hOuKg · row unbalanced_train:8l2ua9hOuKg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 9TpA2gd1vas · row unbalanced_train:9TpA2gd1vas:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 9wGOMG5sRg8 · row unbalanced_train:9wGOMG5sRg8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Baby cry, infant cry
youtube_video tkF7y3W37aU · row unbalanced_train:tkF7y3W37aU: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 6f2947831c2d891554e347a2bee6f4e45b456b4291523fd6b7ce90988804ed9e
| 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.