cirimus/super-emotion

Super Emotion Dataset

Associated Paper

We provide full documentation of the dataset construction process in the accompanying paper: 📘 The Super Emotion Dataset (PDF)

Dataset Summary

The Super Emotion dataset is a large-scale, multilabel dataset for emotion classification, aggregated from six prominent emotion datasets:

• MELD
• GoEmotions
• TwitterEmotion
• ISEAR
• SemEval
• Crowdflower

It contains 552,821 unique text samples and 570,457 total emotion label assignments, reflecting its multilabel nature. Emotion labels are mapped into six primary emotions and a neutral class: joy, sadness, anger, fear, love, surprise, and neutral. Related or ambiguous categories like happiness, hate, or grief are merged accordingly.

Supported Tasks

This dataset is designed for emotion classification and can be used for:

• Multi-label emotion recognition
• Emotion co-occurrence modeling
• Single-label classification
• Fine-tuning language models for affective NLP

Dataset Structure

The dataset follows the structure:

Column	Type	Description
text	string	The raw input text
label	string	One or more mapped emotion labels
source	string	The original dataset name

Splits:

• Train: 439361 samples
• Validation: 54835 samples
• Test: 58,625 samples

Class distribution by source:

Source	Neutr.	Surp.	Fear	Sad.	Joy	Anger	Love	Dropped	Total
MELD	6436	1636	358	1002	2308	1968	0	0	13708
TwitterEmotion	0	719	2373	5797	6761	2709	1641	0	20000
ISEAR	0	14972	47712	121187	141067	57317	34554	0	416809
GoEmotions	17772	4295	929	4032	7646	7838	15557	2723	60792
Crowdflower	8817	2187	8457	5165	9270	1433	3842	827	39998
SemEval	0	566	1848	3607	5065	4780	1757	1527	19150
All	33025	24375	61677	140790	172117	76045	57351	5077	570457

License

This dataset is distributed under the CC BY-SA 4.0 license, in compliance with the most restrictive upstream dataset (GoEmotions).

Each source dataset is redistributed under its original license:

• GoEmotions — CC BY-SA 4.0
• MELD — CC BY 4.0
• ISEAR — License: research use only
• CARER
• CrowdFlower
• SemEval

Users are encouraged to consult individual dataset licenses before redistribution or commercial use.

Citation

If you use this dataset, please cite both the original sources and this aggregation:

@article{junquedefortuny2025superemotion,
  title   = {The Super Emotion Dataset},
  author  = {Enric Junqu{\'e} de Fortuny},
  journal = {arXiv preprint},
  year    = {2025},
  url     = {https://arxiv.org/abs/2505.15348},
  note    = {Dataset and supplementary materials available at \url{https://huggingface.co/datasets/cirimus/super-emotion}}
}