GoEmotions
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Concept Attribution | GoEmotions v1.0 (test) | Average F142 | 38 | |
| Emotion Classification | GoEmotions | Accuracy55.8 | 23 | |
| Concept Attribution | GoEmotions | Average Attribution F123 | 18 | |
| PMI ranking estimation | GoEmotions (500 held-out pairs) | Spearman Rho0.66 | 16 | |
| Clustering | GoEmotions | ARI8 | 10 | |
| Generative Classification | GoEmotions (test) | Accuracy45.2 | 10 | |
| Classification | GoEmotions | Accuracy81.63 | 10 | |
| Sentiment Classification | GoEmotions | Recall71.61 | 9 | |
| Text Classification | GoEmotions | Accuracy27.89 | 9 | |
| Misclassification Detection | GoEmotions (test) | AUROC69.8 | 7 | |
| Selective Prediction | GoEmotions (test) | AURC58.5 | 7 | |
| Emotion Classification | GoEmotions Ekman taxonomy mapping (test) | Anger Score46.15 | 7 | |
| Emotion Classification | GoEmotions EN (test) | F1 Score53.4 | 6 | |
| Emotion Detection | GoEmotions (test) | F1 (macro)55.18 | 6 | |
| Concept Detection | GoEmotions (test) | F1 Score46 | 6 | |
| Uncertainty Correspondence | GoEmotions (test) | Spearman Correlation (ρ)0.471 | 5 | |
| Emotion Distribution Prediction | GoEmotions core set | Mean JSD0.299 | 5 | |
| Attribute classification | GoEmotions LoRA | Macro F1 Score5.67 | 5 | |
| Concept Detection | GoEmotions | F1 Score39.5 | 5 | |
| Emotion recognition | GoEmotions | F1 Macro0.528 | 5 | |
| text classification | GoEmotions | ECE6.5 | 4 | |
| Generalized Category Discovery | GoEmotions | Accuracy37.57 | 2 | |
| Emotion Classification | GoEmotions 140 samples | Top-1 Accuracy26.4 | 1 |
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