# EmoGator Dataset

**Source:** https://github.com/fredbuhl/EmoGator

**License:** Apache 2.0

**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.

**Emotion Categories (30):**
- Adoration, Amusement, Anger, Awe, Confusion
- Contempt, Contentment, Desire, Disappointment, Disgust
- Distress, Ecstasy, Elation, Embarrassment, Fear
- Guilt, Interest, Neutral, Pain, Pride
- Realization, Relief, Romantic Love, Sadness, Serenity
- Shame, Surprise (Negative), Surprise (Positive), Sympathy, Triumph

**Format:** FLAC 48kHz 16-bit mono

**Total samples:** 32130
**Total tar files:** 33

**Reference:** https://arxiv.org/abs/2301.00508