Update README.md

README.md

@@ -2,4 +2,39 @@
 license: apache-2.0
 size_categories:
 - 1K<n<10K
----
+task_categories:
+- image-classification
+tags:
+- deepfake
+- quality
+- 0-bad
+- 1-good
+---
+# **Deepfake Quality Assessment** 
+
+Deepfake QA is a Deepfake Quality Assessment model designed to analyze the quality of deepfake videos. It evaluates whether a deepfake is of good or bad quality, where:  
+- **0** represents a bad-quality deepfake  
+- **1** represents a good-quality deepfake  
+
+This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques.  
+
+## Citation  
+
+If you use our dataset or models, please cite:  
+
+```bibtex
+@misc{deepfake_quality_assessment_2025,
+  author = {Wildy AI Team Collaborations},
+  title = {Deepfake Quality Assessment Models},
+  year = {2025},
+  note = {Early release},
+  models_training = {@prithivMLmods},
+  dataset_curation_strategy = {@prithivMLmods},
+  dataset_curation = {Wildy AI Team}
+}
+```
+
+## Release Information  
+- **Dataset Curated by:** Wildy AI Team  
+- **Model Training & Curation Strategy:** @prithivMLmods  
+- **Expected Release:** Early 2025