Add SC09 dataset readme.

README.md

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+# SC09 Dataset
+
+SC09 is a raw audio waveform dataset used in the paper "It's Raw! Audio Generation with State-Space Models". It was previously used as a challenging problem for unconditional audio generation by Donahue et al. (2019), and was originally introduced as a dataset for keyword spotting by Warden (2018). The SC09 dataset consists of 1s clips of utterances of the digits zero through nine across a variety of speakers, with diverse accents and noise conditions.
+
+We include a single `sc09.zip` file that contains:
+- folders `zero` through `nine`, each containing audio files sampled at 16kHz corresponding to utterances for the digit
+- `validation_list.txt` containing the list of validation utterances
+- `testing_list.txt` containing the list of testing utterances
+- the original `LICENSE` file
+
+We split the data into train-val-test for training SaShiMi models and baselines by following the splits provided in `validation_list.txt` and `testing_list.txt`.
+
+You can use the following BibTeX entries to appropriately cite prior work related to this dataset if you decide to use this in your research:
+```
+@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:xxxx.yyyyy},
+  year={2022}
+}
+
+@inproceedings{donahue2019adversarial,
+  title={Adversarial Audio Synthesis},
+  author={Donahue, Chris and McAuley, Julian and Puckette, Miller},
+  booktitle={International Conference on Learning Representations},
+  year={2019}
+}
+
+@article{Warden2018SpeechCA,
+  title={Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition},
+  author={Pete Warden},
+  journal={ArXiv},
+  year={2018},
+  volume={abs/1804.03209}
+}
+```