QBiscuits/FEA-20K
[AAAI 2026] Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis Dataset Summary FEA-20K is a large-scale, fine-grained dataset for Facial Emotion Analysis (FEA), containing approximately 20,000 samples. It was created using the novel Facial-R1 framework, a three-stage training process designed to align reasoning and recognition in Vision-Language Models. The dataset is built to support explainable AI by breaking down emotion analysis into three distinct… See the full description on the dataset page: https://huggingface.co/datasets/QBiscuits/FEA-20K.
| Author / organization | QBiscuits |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 156 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 November 2025 |
| Last updated at source | 14 November 2025 |
Recent changes
- 16 Oct 2026 Description: [AAAI 2026] Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis Dataset Summary FEA-20K is a large-scale, fine-grained dataset for Facial Emotion Analysis (FEA), containing approximately 20,000 samples. It was created → [AAAI 2026] Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis Dataset Summary FEA-20K is a large-scale, fine-grained dataset for Facial Emotion Analysis (FEA), containing approximately 20,000 samples. It was created
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