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 1. You can download the sequence pair dataset used to train **PPLM** through [pplm_dataset](https://drive.google.com/file/d/1dt9omH2A-1-Uucz93lflgNbonRpAe2Mo/view?usp=sharing)<br>
 2. You can access the original **protein-protein interaction** dataset from [D-SCRIPT](https://github.com/samsledje/D-SCRIPT/tree/main/data). The corrected pair lists by remove duplicate, erroneous, and invalid negative samples are provided in the **ppi** folder.<br>
-3. You can access the original **protein-protein binding affinity** dataset from [PPB-Affinity](https://github.com/ChenPy00/PPB-Affinity). To prevent potential data leakage, we resplited the five-fold cross-validation list by considering the structure similarity, and the list of PDB IDs for each fold is provided in the **affinity** folder<br>.
-4. You can download the **inter-protein contact prediction** dataset through [contact_dataset](https://drive.google.com/file/d/1TtOmrqFKA_wVGk563QQTEoDVV46rE_-t/view?usp=sharing)<br>.
+3. You can access the original **protein-protein binding affinity** dataset from [PPB-Affinity](https://github.com/ChenPy00/PPB-Affinity). To prevent potential data leakage, we resplited the five-fold cross-validation list by considering the structure similarity, and the list of PDB IDs for each fold is provided in the **affinity** folder.<br>
+4. You can download the **inter-protein contact prediction** dataset through [contact_dataset](https://drive.google.com/file/d/1TtOmrqFKA_wVGk563QQTEoDVV46rE_-t/view?usp=sharing).<br>