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# EmoGator Dataset |
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**Source:** https://github.com/fredbuhl/EmoGator |
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**License:** Apache 2.0 |
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**Description:** The EmoGator dataset consists of 32,130 non-speech vocal bursts (for example: laughter, sighs, moans, and groans) in 30 emotion categories. The dataset contains 357 contributors, 30 vocal burst categories, and 3 instances of each category per contributor, providing a balanced dataset with 90 samples per contributor. |
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**Emotion Categories (30):** |
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- Adoration, Amusement, Anger, Awe, Confusion |
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- Contempt, Contentment, Desire, Disappointment, Disgust |
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- Distress, Ecstasy, Elation, Embarrassment, Fear |
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- Guilt, Interest, Neutral, Pain, Pride |
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- Realization, Relief, Romantic Love, Sadness, Serenity |
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- Shame, Surprise (Negative), Surprise (Positive), Sympathy, Triumph |
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**Format:** FLAC 48kHz 16-bit mono |
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**Total samples:** 32130 |
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**Total tar files:** 33 |
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**Reference:** https://arxiv.org/abs/2301.00508 |
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