sander-wood
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Update README.md
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README.md
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@@ -49,4 +49,32 @@ Inspired by [CTRL](https://huggingface.co/ctrl), we incorporate control codes in
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This dataset is for research use only and not for commercial purposes. We believe all data in this dataset is in the public domain. If you own the copyright to any musical composition in the IrishMAN dataset and have concerns, please contact us at shangda@mail.ccom.edu.cn. We will address your concerns and take appropriate action if needed.
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## Special Thanks
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We would like to extend a special thanks to thesession.org and abcnotation.com for their contributions to the development and promotion of ABC notation, as well as their significant impact on the field of music information retrieval. Their platforms have become invaluable resources for the traditional and folk music community. We also wish to express our gratitude to Willem (Wim) for providing the essential conversion tools that enabled the transformation of the tunes into a uniform format. Together, these collaborations have made it possible for researchers like us to create and study extensive datasets like IrishMAN.
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This dataset is for research use only and not for commercial purposes. We believe all data in this dataset is in the public domain. If you own the copyright to any musical composition in the IrishMAN dataset and have concerns, please contact us at shangda@mail.ccom.edu.cn. We will address your concerns and take appropriate action if needed.
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## Special Thanks
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We would like to extend a special thanks to thesession.org and abcnotation.com for their contributions to the development and promotion of ABC notation, as well as their significant impact on the field of music information retrieval. Their platforms have become invaluable resources for the traditional and folk music community. We also wish to express our gratitude to Willem (Wim) for providing the essential conversion tools that enabled the transformation of the tunes into a uniform format. Together, these collaborations have made it possible for researchers like us to create and study extensive datasets like IrishMAN.
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### BibTeX entry and citation info
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```bibtex
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@inproceedings{DBLP:conf/hcmir/WuLY023,
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author = {Shangda Wu and
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Xiaobing Li and
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Feng Yu and
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Maosong Sun},
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editor = {Lorenzo Porcaro and
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Roser Batlle{-}Roca and
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Emilia G{\'{o}}mez},
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title = {TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching},
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booktitle = {Proceedings of the 2nd Workshop on Human-Centric Music Information
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Retrieval 2023 co-located with the 24th International Society for
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Music Information Retrieval Conference {(ISMIR} 2023), Milan, Italy,
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November 10, 2023},
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series = {{CEUR} Workshop Proceedings},
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volume = {3528},
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publisher = {CEUR-WS.org},
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year = {2023},
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url = {https://ceur-ws.org/Vol-3528/paper1.pdf},
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timestamp = {Tue, 19 Dec 2023 17:15:12 +0100},
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biburl = {https://dblp.org/rec/conf/hcmir/WuLY023.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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