---
language:
- en
pretty_name: Enhanced Emotion Classification Dataset
version: 2.0
tags:
- text-classification
- emotion
- sentiment-analysis
- ekman-emotions
- text
license: mit
task_categories:
- text-classification
task_ids:
- sentiment-classification
---

# Enhanced Emotion Classification Dataset (v2.0)

## Dataset Description

This dataset is an enhanced version of the emotion classification dataset, including multiple sources of emotion data with Ekman emotion mapping. It contains a total of 240,426 samples across 7 emotion categories, with each sample labeled with its original data source.

### Dataset Structure

The dataset is split into three parts:
- **Train**: 186,619 samples (77.6%)
- **Validation**: 31,086 samples (12.9%)
- **Test**: 22,721 samples (9.4%)

### Emotion Categories

The dataset includes 7 Ekman basic emotions:
- neutral
- joy
- sadness
- anger
- fear
- surprise
- disgust

## Data Sources

The dataset combines data from 7 different sources:

1. **Movies_Reviews**
   - Movie review emotion data
   - Contains 7 emotion categories

2. **DailyDialog**
   - Real dialog data with multi-turn conversations
   - Contains 7 emotion categories

3. **GoEmotions**
   - Reddit comment data with colloquial expressions
   - Contains 7 emotion categories

4. **ISEAR**
   - International emotion research data with high-quality text
   - Contains 7 emotion categories

5. **MELD**
   - Multimodal emotion dialog data from the TV show "Friends"
   - Contains 7 emotion categories

6. **mteb_emotion**
   - Emotion analysis dataset with various emotion expressions
   - Contains 7 emotion categories

7. **Tweet Emotions**
   - Twitter tweet data including @mentions
   - Contains 7 emotion categories

## Data Format

Each CSV file contains the following columns:
- `text`: Text content
- `label_text`: Emotion label (one of the 7 emotion categories)
- `source`: Data source identifier (e.g., dailydialog, goemotions, tweetemotions, etc.)

## File Structure

```
dataset_huggingface_enhance/
├── train.csv              # Merged training set (186,619 samples)
├── val.csv                # Merged validation set (31,086 samples)
├── test.csv               # Merged test set (22,721 samples)
├── README.md              # Dataset documentation
├── dataset_infos.json     # Hugging Face dataset configuration
├── info.md                # Detailed dataset statistics
├── label_list.txt         # List of emotion labels
└── stats.py               # Dataset statistics script
```

## Usage

To use this dataset with Hugging Face Datasets library:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("jiangchengchengNLP/Enhanced_Emotion_Classification_Dataset")

# Access specific splits
train_dataset = dataset["train"]
val_dataset = dataset["validation"]
test_dataset = dataset["test"]
```

## Emotion Distribution

### Training Set (186,619 samples)
- neutral: 51.11%
- joy: 21.64%
- sadness: 7.98%
- anger: 5.97%
- fear: 5.90%
- surprise: 5.11%
- disgust: 2.29%

### Validation Set (31,086 samples)
- neutral: 40.96%
- joy: 24.15%
- sadness: 9.38%
- fear: 8.06%
- anger: 7.49%
- surprise: 7.06%
- disgust: 2.89%

### Test Set (22,721 samples)
- neutral: 45.11%
- joy: 22.88%
- sadness: 9.13%
- anger: 7.61%
- fear: 6.67%
- surprise: 5.93%
- disgust: 2.67%

## Notes

- The dataset has class imbalance, with neutral being the most common category (~40-51%) and disgust being the least common (~2-3%).
- Each sample includes a `source` field indicating its original data source, which allows for source-specific analysis.
- Different data sources have different text styles, which may affect model performance.
- The dataset uses Ekman emotion mapping, which maps various emotion labels to the 7 basic emotions.

## License

The dataset is released under the MIT License.

## Citation

If you use this dataset in your research, please cite the original datasets:

- DailyDialog: https://aclanthology.org/I17-1099/
- GoEmotions: https://arxiv.org/abs/2005.00547
- Tweet Emotions: https://www.aclweb.org/anthology/W18-6212/
- MELD: https://arxiv.org/abs/1810.02508
- ISEAR: https://link.springer.com/article/10.1007/BF02112196

## Version History

- **v2.0** (2026-01-07): Updated dataset with merged sources and source field
  - Total samples: 240,426
  - Added `source` field to all samples
  - Updated emotion distribution statistics
  - Improved data quality and consistency
  - Filtered all NaN values from the dataset

- **v1.0**: Initial release