Update README.md

README.md

@@ -272,6 +272,11 @@ BALM-Benchmark is a comprehensive benchmark suite that combines multiple seminal
     - **Y** (`float32`): binding affinity value in pKd.
     - **Drug** (`string`): Ligand sequence (i.e., SMILES string).
     - **Target** (`string`): Protein sequence (i.e., sequence of amino acids).
+- **USP7**:
+    - **Index** (`string`): Index of the ligand-target pair. 
+    - **Y** (`float32`): binding affinity value in pKd.
+    - **Drug** (`string`): Ligand sequence (i.e., SMILES string).
+    - **Target** (`string`): Protein sequence (i.e., sequence of amino acids).
 
 
 ### Dataset Sources
@@ -284,6 +289,7 @@ BALM-Benchmark is a comprehensive benchmark suite that combines multiple seminal
 - **MCL1**:
 - **Mpro**:
 - **SYK**:
+- **USP7**:
 
 ## Uses
 
@@ -307,6 +313,7 @@ As mentioned in the [Dataset Sources](#dataset-sources), the available datasets
 - `MCL1`
 - `Mpro`
 - `SYK`
+- `USP7`
 
 Notice that all datasets only have one split (`train`). This is intentional such that the users can define their own splits, and can experiment with more random seeds for robustness.
 We highly recommend checking out different strategies for splitting the data (e.g., BindingDB) in [our BALM code repository](https://github.com/meyresearch/BALM/blob/refactor/balm/datasets/bindingdb_filtered.py#L157-L169).