Link HF dataset (devansh0703/GenPept-Curated-2025) + add dataset citation/license

README.md

@@ -28,7 +28,8 @@ model-index:
           type: text-classification
           name: Antimicrobial Peptide (AMP) Binary Classification
         dataset:
-          type: GenPept-Curated-2025
+          type: devansh0703/GenPept-Curated-2025
+          id: devansh0703/GenPept-Curated-2025
           name: GenPept-Curated-2025 (balanced_11000)
           split: test
         metrics:
@@ -109,8 +110,15 @@ print(f"P(AMP) = {prob_amp:.3f}")
 
 ## Dataset
 
-Trained on the [GenPept-Curated-2025](https://github.com/biochem-data-sci/GenPept-Curated-2025)
-benchmark:
+Trained on the **GenPept-Curated-2025** benchmark. The curated tables are mirrored on the Hub as a
+dataset repo:
+
+- **HF dataset:** [devansh0703/GenPept-Curated-2025](https://huggingface.co/datasets/devansh0703/GenPept-Curated-2025)
+- **Original source:** https://github.com/biochem-data-sci/GenPept-Curated-2025
+- **Paper (bioRxiv):** https://doi.org/10.64898/2026.04.25.720793
+- **License:** CC-BY-NC 4.0 (dataset belongs to its original authors — see dataset card)
+
+Dataset summary:
 - 11,000 peptide sequences (5,500 AMP / 5,500 non-AMP)
 - Sequence lengths 10–200 amino acids
 - Taxonomy: Bacteria, Archaea, Fungi
@@ -158,6 +166,8 @@ From `results/final_results.json`:
 
 ## Citation
 
+If you use this model, cite the model:
+
 ```bibtex
 @article{peptedgev2,
   title={PeptEdgeV2: A Parameter-Efficient Multi-Scale Hybrid Architecture for Antimicrobial Peptide Classification},
@@ -166,6 +176,18 @@ From `results/final_results.json`:
 }
 ```
 
+If you use the dataset, cite its original authors:
+
+```bibtex
+@article{Pham2026GenPeptCurated2025,
+  title={GenPept-Curated-2025: A Benchmark Dataset for Antimicrobial Peptide Prediction with Homology-Controlled Partitioning},
+  author={Huynh Trong Pham and Bao Huynh and Thanh-Hoang Nguyen-Vo},
+  journal={bioRxiv},
+  year={2026},
+  doi={10.64898/2026.04.25.720793}
+}
+```
+
 ## License
 
 MIT