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Added dataset and LFS

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  1. .gitattributes +1 -0
  2. BaDumTss.pdf +3 -0
  3. LICENSE +21 -0
  4. README.md +13 -3
  5. dataset/dataset.tar.gz +3 -0
  6. dataset/metadata.csv +0 -0
.gitattributes CHANGED
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  *.webp filter=lfs diff=lfs merge=lfs -text
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+ *.pdf filter=lfs diff=lfs merge=lfs -text
BaDumTss.pdf ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:d30cac7d06f0a797cb55e32419dec1c2fc1129e58b915675ff71c58f9cfa2e8d
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LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2023 Max Ardito
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
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+ # Beatbox Dataset
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+
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+ Dataset consisting of isolated beatbox samples from the paper **[BaDumTss: Multi-task
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+ Learning for Beatbox
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+ Transcription](https://link.springer.com/chapter/10.1007/978-3-031-05981-0_14])**
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+
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+ ## Citations
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+
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+ Mehta, P., Maheshwari, M., Joshi, B., Chakraborty, T. (2022). BaDumTss: Multi-task
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+ Learning for Beatbox Transcription. In: Gama, J., Li, T., Yu, Y., Chen, E., Zheng, Y.,
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+ Teng, F. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2022. Lecture Notes
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+ in Computer Science(), vol 13282. Springer, Cham.
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+ https://doi.org/10.1007/978-3-031-05981-0_14
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+ size 141042004
dataset/metadata.csv ADDED
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