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--- |
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license: unknown |
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dataset_info: |
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features: |
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- name: path |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: emotion |
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dtype: string |
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- name: dataset |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4484334276.16 |
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num_examples: 11970 |
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download_size: 1315896899 |
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dataset_size: 4484334276.16 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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This dataset is created from [Speech Emotion Recognition (en)](https://www.kaggle.com/datasets/dmitrybabko/speech-emotion-recognition-en) dataset. |
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This dataset includes the 4 most popular datasets in English: Crema, Ravdess, Savee, and Tess, containing a total of over 12,000 .wav audio files. Each of these four datasets includes 6 to 8 different emotional labels. |
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It includes the 7 types of emotions contained in speech. |
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```python |
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emotions = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise'] |
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``` |
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