EmoGator/info.md

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