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readme: reorganize acknowledgments and licenses
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Expand Up @@ -225,25 +225,44 @@ Please open an issue or a pull request if you want to contribute.
Let's try to keep this repository the central place around the dataset!
Links to resources related to the dataset are welcome.
## License & co
* Please cite our [paper] if you use our code or data.
```
@inproceedings{fma_dataset,
title = {{FMA}: A Dataset for Music Analysis},
author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
year = {2017},
archiveprefix = {arXiv},
eprint = {1612.01840},
url = {https://arxiv.org/abs/1612.01840},
}
```
## Acknowledgments and Licenses
We are grateful to the [Swiss Data Science Center] ([EPFL] and [ETHZ]) for hosting the dataset.
Please cite our work if you use our code or data.
```
@inproceedings{fma_dataset,
title = {{FMA}: A Dataset for Music Analysis},
author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
year = {2017},
archiveprefix = {arXiv},
eprint = {1612.01840},
url = {https://arxiv.org/abs/1612.01840},
}
```
```
@inproceedings{fma_challenge,
title = {Learning to Recognize Musical Genre from Audio},
subtitle = {Challenge Overview},
author = {Defferrard, Micha\"el and Mohanty, Sharada P. and Carroll, Sean F. and Salath\'e, Marcel},
booktitle = {The 2018 Web Conference Companion},
year = {2018},
publisher = {ACM Press},
isbn = {9781450356404},
doi = {10.1145/3184558.3192310},
archiveprefix = {arXiv},
eprint = {1803.05337},
url = {https://arxiv.org/abs/1803.05337},
}
```
* The code in this repository is released under the terms of the [MIT license](LICENSE.txt).
* The metadata is released under the terms of the [Creative Commons Attribution 4.0 International License (CC BY 4.0)][ccby40].
* We do not hold the copyright on the audio and distribute it under the terms of the license chosen by the artist.
* The dataset is meant for research purposes.
* We are grateful to the [Swiss Data Science Center] ([EPFL] and [ETHZ]) for hosting the dataset.
[ccby40]: https://creativecommons.org/licenses/by/4.0
[Swiss Data Science Center]: https://datascience.ch/collaboration-and-partnerships
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