Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- text-moderation
+language:
+  - en
+  - de
+  - fr
+  - es
+  - it
+  - sv
+  - fi
+  - pl
+  - cs
+  - lv
+  - zh
+  - ja
+  - ko
+  - ru
+  - uk
+  - be
+  - kk
+---
+
+# Text-Moderation-Multilingual
+
+A comprehensive multilingual text moderation dataset combining multiple high-quality sources for training robust content moderation classifiers.
+
+## Dataset Summary
+
+This dataset aggregates text moderation data from multiple sources to create a large-scale, diverse training corpus for content moderation systems. It includes text samples labeled across multiple harmful content categories, supporting both multilingual and English-specific moderation use cases.
+
+**Total Size:** ~1.7M entries  
+**Languages:** Multilingual (primary focus on English)  
+**Task:** Multi-label text classification for content moderation
+
+## Dataset Structure
+
+### Data Fields
+
+- `prompt` (string): The input text to be classified
+- `S` (int): Sexual content (0 = safe, 1 = harmful)
+- `H` (int): Hate speech (0 = safe, 1 = harmful)  
+- `V` (int): Violence (0 = safe, 1 = harmful)
+- `HR` (int): Harassment (0 = safe, 1 = harmful)
+- `SH` (int): Self-harm (0 = safe, 1 = harmful)
+- `S3` (int): Sexual content involving minors (0 = safe, 1 = harmful)
+- `H2` (int): Hate speech (alternative labeling) (0 = safe, 1 = harmful)
+- `V2` (int): Violence (alternative labeling) (0 = safe, 1 = harmful)
+
+### Data Splits
+
+- **Train:** 1459350 samples
+- **Validation:** 162150 samples
+
+*Note: Split created with 90/10 train/validation ratio using random seed 42*
+
+## Source Datasets
+
+This dataset combines and harmonizes data from:
+
+- **[ifmain's multilingual dataset](https://huggingface.co/datasets/ifmain/text-moderation-02-multilingual)** - Multilingual moderation examples
+- **[OpenAI's English evaluation dataset](https://huggingface.co/datasets/mmathys/openai-moderation-api-evaluation)** - High-quality English evaluation samples  
+- **[ifmain's English dataset](https://huggingface.co/datasets/ifmain/text-moderation-01)** - English moderation examples
+
+## Intended Use
+
+### Primary Use Cases
+- Training text moderation classifiers
+- Benchmarking content moderation systems
+- Research into automated content moderation
+- Multi-label classification model development
+
+### Out-of-Scope Uses
+- This dataset is **not intended** for any purpose other than training content moderation systems
+- Should not be used to generate harmful content
+- Not suitable for general text classification tasks outside of moderation
+
+## Considerations for Using the Data
+
+### Content Warning
+This dataset contains examples of harmful content including hate speech, harassment, violence, and other potentially disturbing material. Users should exercise appropriate caution when working with this data.
+
+### Bias and Limitations
+- The dataset reflects the biases present in the source datasets
+- Content moderation standards may vary across different platforms and cultures
+- Label consistency across merged datasets may vary
+- Primarily English-focused despite multilingual components
+
+### Ethical Considerations
+- This dataset should only be used to improve content moderation and safety systems
+- Researchers and developers should implement appropriate safeguards when working with this data
+- The goal is to reduce harmful content online, not to amplify it
+
+## Example Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("KoalaAI/Text-Moderation-Multilingual")
+
+# Access splits
+train_data = dataset["train"]
+val_data = dataset["validation"]
+
+# Example entry
+print(train_data[0])
+# {
+#   'prompt': 'Example text...',
+#   'S': 0, 'H': 0, 'V': 0, 'HR': 0, 
+#   'SH': 0, 'S3': 0, 'H2': 0, 'V2': 0
+# }
+```
+
+## Dataset Creation
+
+### Curation Process
+1. Source datasets were identified and downloaded
+2. Data was harmonized to use consistent labeling schema
+3. Entries were merged and deduplicated where appropriate
+4. Train/validation split was created using stratified sampling
+
+### Quality Control
+- Labels were preserved from original high-quality sources
+- Data integrity checks were performed during merging process
+- Consistent schema applied across all entries
+
+## License
+
+Please refer to the licenses of the individual source datasets:
+- Check ifmain datasets for their respective licensing terms
+- OpenAI evaluation dataset licensing applies to that portion
+- Usage should comply with all source dataset requirements
+
+## Citation
+
+If you use this dataset, please cite the original source datasets:
+
+```bibtex
+@misc{text-moderation-large,
+  title={Text-Moderation-Multilingual: A Multilingual Text Moderation Dataset},
+  author={[KoalaAI]},
+  year={2025},
+  note={Aggregated from ifmain's and OpenAI's moderation datasets}
+}
+```
+
+## Contact
+
+For questions about this dataset compilation, please open an issue on this repository.
+
+---
+
+**Disclaimer:** This dataset is provided for research and safety purposes only. Users are responsible for ensuring ethical use and compliance with applicable laws and regulations.