Update license and citation metadata

README.md

@@ -1,18 +1,37 @@
 ---
-license: unknown
+license: cc-by-4.0
 task_categories:
 - audio-classification
 - automatic-speech-recognition
 size_categories:
 - n<1K
+pretty_name: MIT Environmental Impulse Response Dataset
 ---
 
-MIT Environmental Impulse Response Dataset
+# MIT Environmental Impulse Response Dataset
 
 The audio recordings in this dataset are originally created by the Computational Audition Lab at MIT. The source of the data can be found at: [https://mcdermottlab.mit.edu/Reverb/IR_Survey.html](https://mcdermottlab.mit.edu/Reverb/IR_Survey.html).
 
-The audio files in the dataset have been resampled to a sampling rate of 16 kHz. This resampling was done to reduce the size of the dataset while making it more suitable for various tasks, including data augmentation.
+This mirror provides the 16 kHz WAV files used for wake-word training augmentation in the Tater Totterson trainer projects. The files were resampled to 16 kHz to keep the dataset small and convenient for machine-learning audio pipelines.
 
-The dataset consists of 271 audio files, each in WAV format. These files collectively provide a diverse range of environmental impulse response data.
+## License
 
-The license for this dataset is unknown. Please refer to the dataset source for any licensing information or usage restrictions, and cite appropriately.
+The original authors clarified that this impulse-response dataset is released under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/).
+
+## Attribution
+
+Please cite the original paper when using this dataset:
+
+```bibtex
+@article{traer2016naturalreverberation,
+  doi = {10.1073/pnas.1612524113},
+  author = {Traer, James and McDermott, Josh H.},
+  title = {Statistics of natural reverberation enable perceptual separation of sound and space},
+  journal = {Proceedings of the National Academy of Sciences},
+  volume = {113},
+  number = {48},
+  pages = {E7856-E7865},
+  year = {2016},
+  url = {https://www.pnas.org/doi/abs/10.1073/pnas.1612524113}
+}
+```