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README.md
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license: mit
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license: mit
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---
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Template
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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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csv_files folder contains CSV files contains train.csv for training split and test.csv for the testing split.
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Download
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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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Acknowledgment
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This dataset is a slightly processed/restructured version of data originally released by Source.
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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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