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fma_xsmall

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Added initial dataset.

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  1. README.md +31 -0
  2. fma_xs/fma_small/000002.mp3 +3 -0
  3. fma_xs/fma_small/000005.mp3 +3 -0
  4. fma_xs/fma_small/000010.mp3 +3 -0
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README.md CHANGED
@@ -1,3 +1,34 @@
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  ---
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  license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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  ---
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+ # Introduction
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+
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+ This is a data subset extracted from the FMA music dataset, particularly the fma_small subset. There are 7 top level genres in this dataset, namely:
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+ - Hip-hop
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+ - Pop
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+ - Folk
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+ - Rock
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+ - International
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+ - Electronic
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+ - Instrumental
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+
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+
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+ The dataset is composed of 210 .mp3 tracks, each of 30 seconds.
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+
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+ Metadata of the audio mp3 audio tracks could be found in `metadata.csv`.
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+
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+ The full mfa dataset could be found [here](https://github.com/mdeff/fma)
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+
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+ # Credits
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+ All credits go to the original creators for this dataset
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+ ```
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+ @inproceedings{fma_dataset,
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+ title = {{FMA}: A Dataset for Music Analysis},
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+ author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
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+ booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
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+ year = {2017},
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+ archiveprefix = {arXiv},
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+ eprint = {1612.01840},
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+ url = {https://arxiv.org/abs/1612.01840},
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+ }
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+ ```
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