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license: mit |
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--- |
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# CREMA-D |
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This is an audio classification dataset for **Emotion Recognition**. |
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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 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/CREMA-D", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "CREMA-D")) |
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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/CheyneyComputerScience/CREMA-D).<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. |
