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license: mit |
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# ESC50-Actions |
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This is an audio classification dataset for **Environmental Sound Classification**. |
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**Classes = 10 , 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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- To perform training and testing **witout cross-validation**, use `csv_files/train.csv` and `csv_files/test.csv` files respectively. |
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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/ESC50-Actions", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "ESC50-Actions")) |
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``` |
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## Acknowledgment |
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This dataset is a slightly processed/restructured version of data originally released by [Source](https://github.com/karolpiczak/ESC-50).<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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For questions or feedback, please create an issue. |
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