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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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+
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+ # CREMA-D
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+
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+ This is an audio classification dataset for **Environmental Sound Classification**.
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+
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+ **Classes = 50   ,   Split = Train-Test**
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+
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+ ## Structure
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+
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+ - `audios` folder contains audio files.
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+ - `train.csv` for training split and `test.csv` for the testing split.
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+
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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", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "ESC50"))
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+ ```
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+
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+ ## Acknowledgment
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+
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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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+
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+ ## Contact
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+ For questions or feedback, please create an issue.