Update README.md

README.md

@@ -221,4 +221,31 @@ Original LOGIC/CoCoLoFa data (81.7% of training set)
 
 Contrastive pairs oversampled 3x (emphasizes boundary learning)
 
-Final balance: 50.3% fallacies, 49.7% valid
+## Dataset
+
+The contrastive training pairs used for fine-tuning this model are available at:
+[Navy0067/contrastive-pairs-for-logical-fallacy](https://huggingface.co/datasets/Navy0067/contrastive-pairs-for-logical-fallacy)
+
+## Contact
+Author: Navyansh Singh
+
+Hugging Face: @Navy0067
+
+Email: Navyansh24102@iiitnr.edu.in
+
+License
+Apache 2.0 - See LICENSE file for details.
+
+## Citation
+
+If you use this model in your research, please cite it as:
+
+```bibtex
+@misc{singh2026fallacy,
+  author       = {Navyansh Singh},
+  title        = {Logical Fallacy Detector: Binary Classification with Contrastive Learning},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  journal      = {Hugging Face Model Hub},
+  url          = {https://huggingface.co/Navy0067/Fallacy-detector-binary}
+}