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@@ -76,6 +76,12 @@ Then set the dataset root:
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  export DATASET_ROOT={path/to/datasets}
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  ```
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  ## Training
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  Before training, it is important that you have downloaded the starter datasets (see above) and set `$DATASET_ROOT`.
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  This project uses the [pytorch-lightning](https://www.pytorchlightning.ai/index.html) framework and [hydra](https://hydra.cc/) for configuration management. All experiments are defined in `cfg/exp/`. To train with an existing experiment run
 
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  export DATASET_ROOT={path/to/datasets}
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  ```
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+ These starter datasets come from the following:
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+ - Vocals: [VocalSet](https://zenodo.org/record/1442513)
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+ - Guitars: [GuitarSet](https://zenodo.org/record/3371780)
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+ - Bass: [DSD100](https://sigsep.github.io/datasets/dsd100.html)
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+ - Drums: [IDMT-SMT-Drums](https://zenodo.org/record/7544164)
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+
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  ## Training
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  Before training, it is important that you have downloaded the starter datasets (see above) and set `$DATASET_ROOT`.
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  This project uses the [pytorch-lightning](https://www.pytorchlightning.ai/index.html) framework and [hydra](https://hydra.cc/) for configuration management. All experiments are defined in `cfg/exp/`. To train with an existing experiment run