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README.md

@@ -1,3 +1,172 @@
----
-license: apache-2.0
----
+---
+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
+