---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: train
    num_bytes: 47692421
    num_examples: 412059
  - name: validation
    num_bytes: 5943141
    num_examples: 51443
  - name: test
    num_bytes: 6478964
    num_examples: 56310
  download_size: 32330824
  dataset_size: 60114526
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
tags:
- text-classification
- emotion
- multi-label
- crowdsourced
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
pretty_name: Super Emotion
size_categories:
- 100K<n<1M
---

# Super Emotion Dataset

## Dataset Summary
The **Super Emotion Dataset** is a large-scale dataset for emotion classification, aggregated from multiple sources:
- [MELD](https://huggingface.co/datasets/declare-lab/MELD)
- [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions)
- [Carer](https://huggingface.co/datasets/dair-ai/emotion)
- [ISEAR](https://www.unige.ch/cisa/research/materials-and-online-research/research-material/)
- [SemEval](https://huggingface.co/datasets/SemEvalWorkshop/sem_eval_2018_task_1)
- [Crowdflower](tasksource/crowdflower)

It contains **519,812 total samples**, respecting original train/validation/test splits where possible. It supports **7 emotion categories** which had maximum support in the aggregation: `joy, sadness, anger, fear, love, neutral, surprise`. Note that we merged some categories to this end (happiness and joy, hate and anger, grief and sadness).


## Supported Tasks
This dataset is designed for **emotion classification** and can be used for:
- Single-label classification
- Multi-label emotion recognition
- Fine-tuning language models

## Dataset Structure
The dataset follows the structure:

| Column  | Type   | Description |
|---------|--------|-------------|
| text    | string | The input text |
| label   | string | The assigned emotion label |
| source  | string | The original dataset |

Splits:
- **Train**: 412,059 samples
- **Validation**: 51,443 samples
- **Test**: 56,310 samples

## Citation
If you use this dataset, please cite the original sources (Crowdflower 2016, Elvis et al. 2018, Demszky et al. 2020, Vikash 2018, Poria et al. 2019, EI-reg Mohammad et al. 2018) as well as:

```
@inproceedings{JdFE2025d,
  title = {The Super Emotion Dataset},
  author = {Enric Junqu\'e de Fortuny},
  year = {2025},
  howpublished = {\url{https://huggingface.co/cirimus/super-emotion}},
}
```