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FEED: Facial Extreme Emotions Dataset

Emotion Recognition
Facial Expression Analysis

A facial extreme emotion dataset to be released in June 2024. More information can be found on the project page and related paper.

github
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OpenRL/daily_dialog

Dialogue Analysis
Emotion Recognition

--- dataset_info: features: - name: dialog sequence: string - name: act sequence: class_label: names: '0': __dummy__ '1': inform '2': question '3': directive '4': commissive - name: emotion sequence: class_label: names: '0': no emotion '1': anger '2': disgust '3': fear '4': happiness '5': sadness '6': surprise splits: - name: train num_bytes: 7296683 num_examples: 11118 - name: validation num_bytes: 673927 num_examples: 1000 - name: test num_bytes: 655828 num_examples: 1000 download_size: 0 dataset_size: 8626438 --- # Dataset Card for "daily_dialog" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

hugging_face
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confit/crema-d

Audio Classification
Emotion Recognition

This is an audio classification dataset primarily for emotion classification tasks. The dataset includes training, validation, and test splits; each sample contains an audio file, audio data, an emotion label, and a categorical label. Emotion labels cover six categories: anger, disgust, fear, happiness, neutral, and sadness. The audio sampling rate is 16 kHz. Total download size is about 606 MB; total dataset size is about 608 MB.

hugging_face
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