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README.md
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---
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license: mit
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---
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# VocalSound
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This is an audio classification dataset for **Vocal Sound Classification**.
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**Classes = 6 , Split = Train-Test**
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## Structure
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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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## Download
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```python
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import os
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import zipfile
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import shutil
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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/VocalSound", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "VocalSound"))
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zipfile_path = os.path.join(audio_datasets_path, 'VocalSound', 'VocalSound.zip')
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with zipfile.ZipFile(zipfile_path,"r") as zip_ref:
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zip_ref.extractall(os.path.join(audio_datasets_path, 'VocalSound'))
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shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'audios'), os.path.join(audio_datasets_path, 'VocalSound'))
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shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'train.csv'), os.path.join(audio_datasets_path, 'VocalSound'))
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shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'test.csv'), os.path.join(audio_datasets_path, 'VocalSound'))
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shutil.rmtree(os.path.join(audio_datasets_path, 'VocalSound', 'VocalSound'))
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os.remove(zipfile_path)
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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/YuanGongND/vocalsound).<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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