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README.md
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@@ -9,15 +9,25 @@ This is an audio classification dataset for **Instrument Classification**.
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**Classes = 4 , Split = Five-Fold**
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## Acknowledgment
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This dataset is a slightly processed version of data originally created by [Source](https://compmusic.upf.edu/bo-perc-dataset).<br>
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Please refer to the respective source for their licensing details and any additional information.
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## Structure
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- `audios` folder contains audio files.
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- `csv_files` folder contains CSV files for five-fold cross-validation.
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- To perform cross-validation on fold 1, `train_1.csv` will be used for the training split and `test_1.csv` for the testing split, with the same pattern followed for the other folds.
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## Contact
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**Classes = 4 , Split = Five-Fold**
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## Structure
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- `audios` folder contains audio files.
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- `csv_files` folder contains CSV files for **five-fold** cross-validation.
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- To perform cross-validation on fold 1, `train_1.csv` will be used for the training split and `test_1.csv` for the testing split, with the same pattern followed for the other folds.
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## Download
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```python
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import os
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import huggingface_hub
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audio_datasets_path = "DATASET_PATH/Audio-Datasets"
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if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with 'Audio-Datasets' folder.")
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huggingface_hub.snapshot_download(repo_id="MahiA/Beijing-Opera", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "Beijing-Opera")
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```
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## Acknowledgment
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This dataset is a slightly processed/restructured version of data originally created by [Source](https://compmusic.upf.edu/bo-perc-dataset).<br>
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Please refer to the respective source for their licensing details and any additional information.
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## Contact
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