Datasets:
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README.md
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---
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task_categories:
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- audio-to-audio
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tags:
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- music
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pretty_name: YouTubeBigBand
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size_categories:
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---
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# YouTubeBigBand Dataset
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Inspired by the [YouTubeMix](https://huggingface.co/datasets/krandiash/youtubemix) dataset.
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*Source*: [https://www.youtube.com/watch?v=I4KAKqF4mjE](https://www.youtube.com/watch?v=I4KAKqF4mjE) - a 2 hour long mix of jazz tracks played by a big band.
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<br/>
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<br/>
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Used for pre-training a [SaShiMi model (see citation)](https://arxiv.org/abs/2202.09729) as part of Tel Aviv University Deep Learning Workshop 2024 Semester B.
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We include two versions of the dataset:
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- `youtubebigband.zip` is a zip file containing 129 1-minute audio clips (re)sampled at 16kHz. These were generated by splitting the original audio track.
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---
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task_categories:
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- audio-to-audio
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tags:
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- music
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pretty_name: YouTubeBigBand
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size_categories:
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+
- n<1K
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---
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# YouTubeBigBand Dataset
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Inspired by the [YouTubeMix](https://huggingface.co/datasets/krandiash/youtubemix) dataset.
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*Source*: [https://www.youtube.com/watch?v=I4KAKqF4mjE](https://www.youtube.com/watch?v=I4KAKqF4mjE) - a 2 hour long mix of jazz tracks played by a big band.
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<br/>
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<br/>
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Used for pre-training a [SaShiMi model (see citation)](https://arxiv.org/abs/2202.09729) as part of Tel Aviv University Deep Learning Workshop 2024 Semester B (see [project repository fork](https://github.com/galbezalel/s4-dl-workshop/)).
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We include two versions of the dataset:
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- `youtubebigband.zip` is a zip file containing 129 1-minute audio clips (re)sampled at 16kHz. These were generated by splitting the original audio track.
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