Duplicate from ParsBench/PersianSyntheticEmotions

Co-authored-by: Shahriar Shariati <shahriarshm@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+tags:
+- persian
+- emotion
+- synthetic
+- text-classification
+language:
+- fa
+size_categories:
+- 1K<n<10K
+---
+
+# PersianSyntheticEmotions Dataset
+
+This dataset contains 8,751 Persian text records synthetically generated using the GPT-4o model, labeled with Ekman's six basic emotions. The dataset is sourced from [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData).
+
+## Dataset Description
+
+### Dataset Summary
+
+The PersianSyntheticEmotions dataset is a collection of Persian texts labeled with six emotion classes based on Ekman's basic emotions theory. The data is synthetically generated, making it useful for training emotion classification models for Persian language tasks.
+
+### Supported Tasks
+
+- Text Classification
+- Emotion Recognition
+- Sentiment Analysis
+
+### Languages
+
+- Persian (fa)
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ParsBench/PersianSyntheticEmotions")
+```
+
+### Dataset Structure
+
+The dataset contains the following emotion classes:
+- Joy (شادی)
+- Sadness (غم)
+- Anger (خشم)
+- Fear (ترس)
+- Disgust (تنفر)
+- Surprise (تعجب)
+
+Total number of examples: 10,000
+
+### Data Fields
+
+- `text`: Persian text content
+- `label`: Emotion class label (one of the six Ekman emotions)
+
+### Data Splits
+
+The data is provided in JSONL format in the `data` directory.
+
+### Data Samples
+
+```json
+{
+  "text": "دیروز در جشنواره محلی روستا شرکت کردم و از دیدن رقص‌های محلی و غذاهای سنتی بسیار لذت بردم.",
+  "label": "شادی"
+}
+```
+
+### Dataset Statistics
+
+| Emotion Label | Count |
+|--------------|-------|
+| شادی (Joy)   | 2746  |
+| غم (Sadness) | 1638  |
+| تعجب (Surprise) | 1282  |
+| خشم (Anger)  | 1011  |
+| ترس (Fear)   | 1124  |
+| نفرت (Disgust) | 950   |
+
+
+### Source Data
+
+The dataset is derived from the [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData) project. The texts were generated using the GPT-4 model and annotated with appropriate emotion labels.
+
+### Considerations for Using the Data
+
+Since this is synthetic data generated by AI:
+- The quality and naturalness of the text may vary
+- The data might not perfectly represent real-world emotion expressions
+- It's recommended to validate the model's performance on real-world data
+
+## Additional Information
+
+### Dataset Curators
+
+This dataset was curated by the ParsBench team.
+
+### Licensing Information
+
+This dataset is licensed under Apache 2.0 License.
+
+## Acknowledgments
+
+- Thanks to [Erfan Zare](https://huggingface.co/erfanzare) who came with the idea of this dataset and helped us through the process of creating it.
+- Special thanks to [AvalAI](https://avalai.ir/) for sponsoring this project through their AvalAward program
+- This dataset was made possible by AvalAI's generous support and commitment to advancing Persian language AI research
+
+
+### Citation Information
+
+If you use this dataset, please cite the original work:
+
+```bibtex
+@dataset{ParsBench/PersianSyntheticEmotions,
+  author = {ParsBench},
+  title = {PersianSyntheticEmotions},
+  year = {2025},
+  url = {https://github.com/ParsBench/PersianSyntheticEmotions}
+}
+```