Create README.md

README.md

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+---
+task_categories:
+- audio-to-audio
+tags:
+- music
+pretty_name: YouTubeBigBand
+size_categories:
+- n<1K
+---
+# YouTubeBigBand Dataset
+
+Inspired by the [YouTubeMix](https://huggingface.co/datasets/krandiash/youtubemix) dataset.
+<br/>
+<br/>
+*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.
+<br/>
+<br/>
+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.
+
+We include two versions of the dataset:
+- `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. 
+- `raw_bigband.wav` is the raw audio track from the YouTube video, sampled at 44.1kHz.
+
+```
+@article{goel2022sashimi,
+  title={It's Raw! Audio Generation with State-Space Models},
+  author={Goel, Karan and Gu, Albert and Donahue, Chris and R\'{e}, Christopher},
+  journal={arXiv preprint arXiv:2202.09729},
+  year={2022}
+}
+
+@misc{deepsound,
+  author = {DeepSound},
+  title = {SampleRNN},
+  year = {2017},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/deepsound-project/samplernn-pytorch}},
+}
+```